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BMCBI
2010
109views more  BMCBI 2010»
14 years 9 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
BMCBI
2007
145views more  BMCBI 2007»
14 years 9 months ago
BioPP: a tool for web-publication of biological networks
Background: Cellular processes depend on the function of intracellular molecular networks. The curation of the literature relevant to specific biological pathways is important for...
Ganesh A. Viswanathan, German Nudelman, Sonali Pat...
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BMCBI
2010
89views more  BMCBI 2010»
14 years 9 months ago
Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study
Background: Tissue MicroArray technology aims to perform immunohistochemical staining on hundreds of different tissue samples simultaneously. It allows faster analysis, considerab...
Federica Viti, Ivan Merelli, Mieke Timmermans, Mic...
BMCBI
2007
207views more  BMCBI 2007»
14 years 9 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
BMCBI
2007
157views more  BMCBI 2007»
14 years 9 months ago
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
Background: Large-scale sequencing of entire genomes has ushered in a new age in biology. One of the next grand challenges is to dissect the cellular networks consisting of many i...
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao...