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BIOINFORMATICS
2007
93views more  BIOINFORMATICS 2007»
13 years 5 months ago
Unsupervised feature selection under perturbations: meeting the challenges of biological data
Roy Varshavsky, Assaf Gottlieb, David Horn, Michal...
ICML
2008
IEEE
14 years 5 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
ISMB
2000
13 years 6 months ago
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated
Determination of the functions of all expressed proteins represents one of the major upcoming challenges in computational molecular biology. Since subcellular location plays a cru...
Robert F. Murphy, Michael V. Boland, Meel Velliste
BMCBI
2007
114views more  BMCBI 2007»
13 years 5 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
BMCBI
2004
153views more  BMCBI 2004»
13 years 4 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...