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BMCBI
2007
207views more  BMCBI 2007»
15 years 4 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
153views more  BMCBI 2007»
15 years 4 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
BMCBI
2007
168views more  BMCBI 2007»
15 years 4 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
2008
148views more  BMCBI 2008»
15 years 4 months ago
Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements
Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
Eva Lange, Ralf Tautenhahn, Steffen Neumann, Cleme...
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BMCBI
2008
159views more  BMCBI 2008»
15 years 4 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
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