Metric Learning on Expression Data for Gene Function Prediction
作者： Stavros Makrodimitris , Marcel J.T. Reinders , Roeland C.H.J. van Ham
DOI: 10.1101/651042
关键词:
摘要: … For example, let us assume that we are looking for genes involved in plant immune response. Using the PCC across all possible conditions, we implicitly expect that all such genes are …
oup.com
sci-hub.st 参考文章(31)
Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa, Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer Advances in Bioinformatics and Computational Biology. pp. 120- 131 ,(2012) , 10.1007/978-3-642-31927-3_11
Rodrigo Santamaría, Luis Quintales, Roberto Therón, Methods to Bicluster Validation and Comparison in Microarray Data Intelligent Data Engineering and Automated Learning - IDEAL 2007. pp. 780- 789 ,(2007) , 10.1007/978-3-540-77226-2_78
Amaury Habrard, Aurélien Bellet, Marc Sebban, A Survey on Metric Learning for Feature Vectors and Structured Data arXiv: Learning. ,(2013)
Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu, A Limited Memory Algorithm for Bound Constrained Optimization SIAM Journal on Scientific Computing. ,vol. 16, pp. 1190- 1208 ,(1995) , 10.1137/0916069
R. A. FISHER, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS Annals of Human Genetics. ,vol. 7, pp. 179- 188 ,(1936) , 10.1111/J.1469-1809.1936.TB02137.X
Min Zhao, Qingguo Wang, Quan Wang, Peilin Jia, Zhongming Zhao, Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives BMC Bioinformatics. ,vol. 14, pp. 1- 16 ,(2013) , 10.1186/1471-2105-14-S11-S1
David L. Davies, Donald W. Bouldin, A Cluster Separation Measure IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 1, pp. 224- 227 ,(1979) , 10.1109/TPAMI.1979.4766909
Wyatt T. Clark, Predrag Radivojac, Information-theoretic evaluation of predicted ontological annotations. Bioinformatics. ,vol. 29, pp. 53- 61 ,(2013) , 10.1093/BIOINFORMATICS/BTT228
Michael Biehl, Rainer Breitling, Yang Li, Analysis of tiling microarray data by learning vector quantization and relevance learning intelligent data engineering and automated learning. pp. 880- 889 ,(2007) , 10.1007/978-3-540-77226-2_88
Jorge M. Vázquez-Ramos, María de la Paz Sánchez, The cell cycle and seed germination Seed Science Research. ,vol. 13, pp. 113- 130 ,(2003) , 10.1079/SSR2003130