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» Genes, Themes, and Microarrays: Using Information Retrieval ...
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BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...
BMCBI
2010
87views more  BMCBI 2010»
13 years 7 months ago
poolMC: Smart pooling of mRNA samples in microarray experiments
Background: Typically, pooling of mRNA samples in microarray experiments implies mixing mRNA from several biological-replicate samples before hybridization onto a microarray chip....
Raghunandan M. Kainkaryam, Angela Bruex, Anna C. G...
NAR
2011
208views Computer Vision» more  NAR 2011»
12 years 10 months ago
Tomato Functional Genomics Database: a comprehensive resource and analysis package for tomato functional genomics
Tomato Functional Genomics Database (TFGD) provides a comprehensive resource to store, query, mine, analyze, visualize and integrate large-scale tomato functional genomics data se...
Zhangjun Fei, Je-Gun Joung, Xuemei Tang, Yi Zheng,...
BMCBI
2006
131views more  BMCBI 2006»
13 years 7 months ago
Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...
David M. Blei, K. Franks, Michael I. Jordan, I. Sa...
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 8 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo