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  <doc>
    <id>6052</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data</title>
    <parentTitle language="eng">Similarity based Clustering, LNCS</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007p, Author = M. Strickert and F.-M. Schleif and T. Villmann and U. Seiffert, Booktitle = Similarity based Clustering, LNCS, Title = Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:48d0e2a3b67985b8aabf0bdaf1d8e137</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>M. Strickert</author>
    <author>Frank-Michael Schleif</author>
    <author>T. Villmann</author>
    <author>U. Seiffert</author>
  </doc>
  <doc>
    <id>6055</id>
    <completedYear/>
    <publishedYear>2008</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>165</pageFirst>
    <pageLast>168</pageLast>
    <pageNumber>4</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Automatic Identification and Quantification of Metabolites in H-NMR Measurements</title>
    <parentTitle language="eng">In Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008</parentTitle>
    <identifier type="isbn">978-952-15-1988-8</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2008e, Author = F.-M. Schleif and T. Riemer and M. Cross and T. Villmann, Title = Automatic Identification and Quantification of Metabolites in H-NMR Measurements, Booktitle = In Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008, Pages = 165–168, ISBN = 978-952-15-1988-8, Year = 2008</enrichment>
    <enrichment key="opus.import.dataHash">md5:28384f24dd5ffab1f2a6612134efe80d</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>T. Riemer</author>
    <author>M. Cross</author>
    <author>T. Villmann</author>
  </doc>
  <doc>
    <id>6059</id>
    <completedYear/>
    <publishedYear>2010</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>103</pageFirst>
    <pageLast>106</pageLast>
    <pageNumber>4</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging</title>
    <parentTitle language="eng">Proceedings of WCSB 2010</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2010j, Author = S. Simmuteit and F.-M. Schleif and T. Villmann, Title = Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging, Booktitle = Proceedings of WCSB 2010, Pages = 103–106, Year = 2010,abstract = The analysis of very large sets of data with multiple thousand measurements is an increasing problem. High- throughput approaches in the life science lead to large amounts of data which need to be analyzed by data mining approaches. Focusing on clustering and visualization approaches a common problem are very large similarity matrices. Standard techniques suffer from memory and runtime limitations for such complex settings or are not applicable at all. Here we present a hierarchical composite clustering employing data specific properties to deal with this problem for data with an inherent hierarchical order. As an additional advantage our algorithm allows easy control of the clustering depth. The method is a prototype based approach leading to sparse, compact and interpretable models. We derive the algorithm and present it on data taken from tissues slices of high resolution MALDI Imaging. Results show an effective clustering as well as significant improvements of the computational complexity for this type of data.</enrichment>
    <enrichment key="opus.import.dataHash">md5:b8f6a21223f0677f05e9a85015911318</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>S. Simmuteit</author>
    <author>Frank-Michael Schleif</author>
    <author>T. Villmann</author>
  </doc>
  <doc>
    <id>6060</id>
    <completedYear/>
    <publishedYear>2010</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>91</pageFirst>
    <pageLast>94</pageLast>
    <pageNumber>4</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach</title>
    <parentTitle language="eng">Proceedings of WCSB 2010</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2010k, Author = F.-M. Schleif and T. Riemer and U. Boerner and L. Schnapka-Hille and M. Cross, Title = Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach , Booktitle = Proceedings of WCSB 2010, Pages = 91–94, Year = 2010,abstract = The analysis of metabolic processes is becoming increasingly important to our understanding of complex biological systems and disease states. Nuclear magnetic resonance (NMR) spectroscopy is a particularly relevant technology in this respect, since the NMR signals provide a quantitative measure of metabolite concentrations. How- ever, due to the complexity of the spectra typical of bio- logical samples, the demands of clinical and high through- put analysis will only be fully met by a system capable of reliable, automatic processing of the spectra. We present here a novel data representation strategy for the measured spectra which simplifies the pre-processing of the data and supports the automatic identication and quantification of metabolites. The approach is combined with an extended targeted profiling strategy to allow the highly automated processing of 1 H NMR spectra, generating readouts suitable for the derivation of system biological models. The parallel application of both manual expert analysis and the automated approach to 1 H NMR spectra obtained from stem cell extracts shows that the results obtained are highly comparable. Use of the automated system therefore significantly reduces the effort normally associated with manual processing and paves the way for reliable, high throughput analysis of complex NMR spectra.</enrichment>
    <enrichment key="opus.import.dataHash">md5:0e697b25c4fad14014d305ed566919d0</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>T. Riemer</author>
    <author>U. Boerner</author>
    <author>L. Schnapka-Hille</author>
    <author>M. Cross</author>
  </doc>
  <doc>
    <id>6061</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>CD</pageFirst>
    <pageLast>publication</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology</title>
    <parentTitle language="eng">Proceedings of AIA 2011</parentTitle>
    <identifier type="doi">http://dx.doi.org/10.2316/P.2011.717-011</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2011a, Author = F.-M. Schleif and S. Simmuteit and T. Villmann, Title = Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology, Booktitle = Proceedings of AIA 2011, Pages = CD-publication, DOI = http://dx.doi.org/10.2316/P.2011.717-011, Year = 2011,abstract = This paper introduces a hierarchical model for the description and deconvolution of composite patterns. The patterns are described in a basis system of spectral basis functions. The mixture coefficients for the composite patterns are determined by solving a linear mixture model with nonneg- ative coefficients. In life science research, wet-lab mixed samples of possible known basis substances occur regularly and cause a challenge for identification tasks. Also in case of known basis functions the problem is still complex, if the used basis is very sparse and the number of basis functions is very large. Simple approaches either try combining different basis spectra or incorporate blind source separation. Our proposed method is to use nonnegative least squares combined with a hierarchical prototype based learning model. We evaluate our method on mixtures of real and simulated composite patterns of mass spectrometry data from bacteria. Results show remarkable success and can be taken as a promising step in the new field of automatic unmixing of mixed cultures.</enrichment>
    <enrichment key="opus.import.dataHash">md5:082b3971c5d97b46b5f80f0e81c4b642</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>S. Simmuteit</author>
    <author>T. Villmann</author>
  </doc>
  <doc>
    <id>6042</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1036</pageFirst>
    <pageLast>1044</pageLast>
    <pageNumber>9</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra</title>
    <parentTitle language="eng">In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007</parentTitle>
    <identifier type="isbn">978-3-540-73006-4</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007b, Author = F.-M. Schleif and B. Hammer and Th. Villmann, Booktitle = In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007, Editors = Francisco Sandoval and Alberto Prieto and Joan Cabestany and Manuel Grana, Publisher = Springer, Address = Berlin, Heidelberg, Germany, Pages = 1036–1044, Title = Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra, ISBN = 978-3-540-73006-4, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:978c4a7bbff5cd465125578afd8c96b0</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>B. Hammer</author>
    <author>Th. Villmann</author>
  </doc>
  <doc>
    <id>6043</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>539</pageFirst>
    <pageLast>546</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Neural gas clustering for sparse proximity data</title>
    <parentTitle language="eng">In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007</parentTitle>
    <identifier type="isbn">978-3-540-73006-4</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007d, Author = A. Hasenfuss and B. Hammer and F.-M. Schleif and T. Villmann, Booktitle = In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007, Editors = Francisco Sandoval and Alberto Prieto and Joan Cabestany and Manuel Grana, Publisher = Springer, Address = Berlin, Heidelberg, Germany, Pages = 539–546, Title = Neural gas clustering for sparse proximity data, ISBN = 978-3-540-73006-4, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:5068dd9f9512867b3af04770082bd28e</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>A. Hasenfuss</author>
    <author>B. Hammer</author>
    <author>Frank-Michael Schleif</author>
    <author> T. Villmann</author>
  </doc>
  <doc>
    <id>6044</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>403</pageFirst>
    <pageLast>405</pageLast>
    <pageNumber>3</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Statistical Classification and Visualization of MALDI-Imaging Data</title>
    <parentTitle language="eng">Proc. of CBMS 2007</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007g, Author = S.-O. Deininger and M. Gerhard and F.-M. Schleif, Booktitle = Proc. of CBMS 2007, Pages = 403–405, Title = Statistical Classification and Visualization of MALDI-Imaging Data, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:7e6b26bb189887bf3a4cbd14af00edc7</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>S.-O. Deininger</author>
    <author>M. Gerhard</author>
    <author>Frank-Michael Schleif</author>
  </doc>
  <doc>
    <id>6045</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>179</pageFirst>
    <pageLast>188</pageLast>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Prototypen basiertes maschinelles Lernen in der klinische Proteomik</title>
    <parentTitle language="eng">Ausgezeichnete Informatikdissertationen 2006</parentTitle>
    <identifier type="isbn">978-3-88579-411-0</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007i, Author = F.-M. Schleif, Booktitle = Ausgezeichnete Informatikdissertationen 2006, Pages = 179–188, Title = Prototypen basiertes maschinelles Lernen in der klinische Proteomik, Publisher = GI-Edition Lecture Notes in Informatics (LNI), ISBN = 978-3-88579-411-0, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:fd12c4c62e21faaa22191f96bdecf508</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>Frank-Michael Schleif</author>
  </doc>
  <doc>
    <id>6046</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>http://biecoll.ub.uni</pageFirst>
    <pageLast>bielefeld.de//frontdoor.php?source_opus=128&amp;la=en</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Class imaging of hyperspectral satellite remote sensing data using Fuzzy labeled Self Organizing Maps</title>
    <parentTitle language="eng">Proc. of WSOM 2007</parentTitle>
    <identifier type="isbn">9783000224</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007j, Author = T. Villmann and F.-M. Schleif and B. Hammer and M. Strickert and E. Merenyi, Booktitle = Proc. of WSOM 2007, Pages = http://biecoll.ub.uni-bielefeld.de//frontdoor.php?source_opus=128&amp;la=en, Title = Class imaging of hyperspectral satellite remote sensing data using Fuzzy labeled Self Organizing Maps, Publisher = Bielefeld University Press, ISBN = 9783000224, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:40e1db04a8c6df20d14b1dce2f2a0b15</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>T. Villmann</author>
    <author>Frank-Michael Schleif</author>
    <author>B. Hammer</author>
    <author>M. Strickert</author>
    <author>E. Merenyi</author>
  </doc>
  <doc>
    <id>6047</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>http://biecoll.ub.uni</pageFirst>
    <pageLast>bielefeld.de//frontdoor.php?source_opus=125&amp;la=en</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Advanced metric adaptation in General LVQ for classification of mass spectrometry data</title>
    <parentTitle language="eng">Proc. of WSOM 2007</parentTitle>
    <identifier type="isbn">9783000224</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007k, Author = P. Schneider and M. Biehl and F.-M. Schleif and B. Hammer, Booktitle = Proc. of WSOM 2007, Pages = http://biecoll.ub.uni-bielefeld.de//frontdoor.php?source_opus=125&amp;la=en, Title = Advanced metric adaptation in General LVQ for classification of mass spectrometry data, Publisher = Bielefeld University Press, ISBN = 9783000224, Year = 2007</enrichment>
    <enrichment key="opus.import.dataHash">md5:cf5df50eb47424bbfcac27546b06f174</enrichment>
    <enrichment key="opus.import.date">2025-07-15T08:47:15+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpzbxNGL</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6876159341a060.14275529</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <author>P. Schneider</author>
    <author>M. Biehl</author>
    <author>Frank-Michael Schleif</author>
    <author>B. Hammer</author>
  </doc>
  <doc>
    <id>6048</id>
    <completedYear/>
    <publishedYear>2007</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>139</pageFirst>
    <pageLast>150</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Gradients of Pearson Correlation for Analysis of Biomedical Data</title>
    <parentTitle language="eng">Proc. of ASAI 2007</parentTitle>
    <identifier type="isbn">18502784</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGSSchleif2007l, Author = M. Strickert and F.-M. Schleif and U. Seiffert, Booktitle = Proc. of ASAI 2007, Pages = 139–150, Title = Gradients of Pearson Correlation for Analysis of Biomedical Data, ISBN = 18502784, Year = 2007</enrichment>
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