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» Towards knowledge-based gene expression data mining
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EDBT
2011
ACM
199views Database» more  EDBT 2011»
13 years 3 days ago
Finding closed frequent item sets by intersecting transactions
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
Christian Borgelt, Xiaoyuan Yang, Rubén Nog...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 3 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
BMCBI
2005
102views more  BMCBI 2005»
13 years 8 months ago
Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computatio
Background: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription...
Emmitt R. Jolly, Chen-Shan Chin, Ira Herskowitz, H...
NAR
2007
113views more  NAR 2007»
13 years 8 months ago
The UCSC genome browser database: update 2007
The University of California, Santa Cruz Genome Browser Database contains, as of September 2006, sequence and annotation data for the genomes of 13 vertebrate and 19 invertebrate ...
Robert M. Kuhn, Donna Karolchik, Ann S. Zweig, Hea...
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 3 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...