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» Can we Find Molecular Signatures from Gene Expression Data
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PPOPP
2006
ACM
14 years 2 months ago
Performance characterization of molecular dynamics techniques for biomolecular simulations
Large-scale simulations and computational modeling using molecular dynamics (MD) continues to make significant impacts in the field of biology. It is well known that simulations...
Sadaf R. Alam, Jeffrey S. Vetter, Pratul K. Agarwa...
BMCBI
2005
113views more  BMCBI 2005»
13 years 8 months ago
Normal uniform mixture differential gene expression detection for cDNA microarrays
Background: One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the ...
Nema Dean, Adrian E. Raftery
BMCBI
2004
146views more  BMCBI 2004»
13 years 8 months ago
Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
BMCBI
2011
13 years 10 days ago
Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays
Background: Copy number aberrations (CNAs) are an important molecular signature in cancer initiation, development, and progression. However, these aberrations span a wide range of...
Youngmi Hur, Hyunju Lee
BMCBI
2008
159views more  BMCBI 2008»
13 years 8 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...