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BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2007
152views more  BMCBI 2007»
13 years 7 months ago
Bioinformatic identification of novel putative photoreceptor specific cis-elements
Background: Cell specific gene expression is largely regulated by different combinations of transcription factors that bind cis-elements in the upstream promoter sequence. However...
Charles G. Danko, Vera A. McIlvain, Maochun Qin, B...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
BMCBI
2002
109views more  BMCBI 2002»
13 years 7 months ago
Kangaroo - A pattern-matching program for biological sequences
Background: Biologists are often interested in performing a simple database search to identify proteins or genes that contain a well-defined sequence pattern. Many databases do no...
Doron Betel, Christopher W. V. Hogue
BMCBI
2005
201views more  BMCBI 2005»
13 years 7 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota