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» Analysis of Variance for Gene Expression Microarray Data
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BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 3 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
BMCBI
2008
93views more  BMCBI 2008»
15 years 1 months ago
MPDA: Microarray pooled DNA analyzer
Background: Microarray-based pooled DNA experiments that combine the merits of DNA pooling and gene chip technology constitute a pivotal advance in biotechnology. This new techniq...
Hsin-Chou Yang, Mei-Chu Huang, Ling-Hui Li, Chien-...
BMCBI
2007
144views more  BMCBI 2007»
15 years 1 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
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RECOMB
2002
Springer
16 years 1 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 1 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...