Discovering Hidden Pathways in Bioinformatics
暂无分享,去创建一个
Paulo J. G. Lisboa | Davide Bacciu | Jonathan M. Garibaldi | Alfredo Vellido | Terence A. Etchells | Ian H. Jarman | Joe Whittaker | Ian O. Ellis | Simon J. Chambers | Sandra Ortega-Martorell
[1] Fabian J. Theis,et al. Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis , 2008, BMC Bioinformatics.
[2] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] George Karypis,et al. Hierarchical Clustering Algorithms for Document Datasets , 2005, Data Mining and Knowledge Discovery.
[4] Huai Li,et al. Unraveling transcriptional regulatory programs by integrative analysis of microarray and transcription factor binding data , 2008, Bioinform..
[5] Paulo J. G. Lisboa,et al. Clustering of protein expression data: a benchmark of statistical and neural approaches , 2011, Soft Comput..
[6] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[7] Zaher Dawy,et al. An approximation to the distribution of finite sample size mutual information estimates , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.
[8] G. Ball,et al. High‐throughput protein expression analysis using tissue microarray technology of a large well‐characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses , 2005, International journal of cancer.
[9] Russell Schwartz,et al. Applying unmixing to gene expression data for tumor phylogeny inference , 2010, BMC Bioinformatics.
[10] Paulo J. G. Lisboa,et al. Cluster-based visualisation with scatter matrices , 2008, Pattern Recognit. Lett..
[11] Paulo J. G. Lisboa,et al. A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients , 2010, Comput. Biol. Medicine.
[12] P. Paatero,et al. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values† , 1994 .
[13] P. Spirtes,et al. Causation, prediction, and search , 1993 .
[14] Yu Sun,et al. The discovery of transcriptional modules by a two-stage matrix decomposition approach , 2007, Bioinform..