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RECOMB
2001
Springer
14 years 9 months ago
Context-specific Bayesian clustering for gene expression data
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
Yoseph Barash, Nir Friedman
BMCBI
2007
168views more  BMCBI 2007»
13 years 9 months ago
Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...
BMCBI
2006
64views more  BMCBI 2006»
13 years 9 months ago
In silico modelling of hormone response elements
Background: An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types...
Maria Stepanova, Feng Lin, Valerie C.-L. Lin
BMCBI
2008
193views more  BMCBI 2008»
13 years 9 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...
BMCBI
2008
141views more  BMCBI 2008»
13 years 9 months ago
The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Chenggang Yu, Nela Zavaljevski, Valmik Desai, Seth...