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BMCBI
2005
190views more  BMCBI 2005»
13 years 8 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
BMCBI
2006
123views more  BMCBI 2006»
13 years 8 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
BMCBI
2010
131views more  BMCBI 2010»
13 years 9 months ago
Prediction of epigenetically regulated genes in breast cancer cell lines
Background: Methylation of CpG islands within the DNA promoter regions is one mechanism that leads to aberrant gene expression in cancer. In particular, the abnormal methylation o...
Leandro A. Loss, Anguraj Sadanandam, Steffen Durin...
NAR
2007
132views more  NAR 2007»
13 years 8 months ago
TRED: a transcriptional regulatory element database, new entries and other development
Transcriptional factors (TFs) and many of their target genes are involved in gene regulation at the level of transcription. To decipher gene regulatory networks (GRNs) we require ...
C. Jiang, Zhenyu Xuan, Fang Zhao, Michael Q. Zhang
BMCBI
2006
124views more  BMCBI 2006»
13 years 8 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...