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» The ParTriCluster Algorithm for Gene Expression Analysis
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109
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AAAI
2007
14 years 12 months ago
Multi-Label Learning by Instance Differentiation
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
Min-Ling Zhang, Zhi-Hua Zhou
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
BMCBI
2005
120views more  BMCBI 2005»
14 years 9 months ago
Harshlight: a "corrective make-up" program for microarray chips
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Maurizio Pelle...
88
Voted
ISMB
2000
14 years 11 months ago
Pattern Recognition of Genomic Features with Microarrays: Site Typing of Mycobacterium Tuberculosis Strains
Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be ...
Soumya Raychaudhuri, Joshua M. Stuart, Xuemin Liu,...
BMCBI
2010
96views more  BMCBI 2010»
14 years 9 months ago
ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
Background: Chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) or ChIP followed by genome tiling array analysis (ChIP-chip) have become standar...
Lihua J. Zhu, Claude Gazin, Nathan D. Lawson, Herv...