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TREC
2003
13 years 10 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
BMCBI
2006
82views more  BMCBI 2006»
13 years 9 months ago
A method for computing the overall statistical significance of a treatment effect among a group of genes
Background: In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be ...
Robert R. Delongchamp, Taewon Lee, Cruz Velasco
TCSB
2008
13 years 8 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom
SAC
2008
ACM
13 years 7 months ago
Strangeness-based feature weighting and classification of gene expression profiles
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
Haifeng Shao, Bei Yu, Joseph H. Nadeau
PKDD
2007
Springer
87views Data Mining» more  PKDD 2007»
14 years 3 months ago
Visual Exploration of Genomic Data
Abstract. In this study, we present methods for comparative visualization of DNA sequences in two dimensions. First, we illustrate a transformation of gene sequences into numerical...
Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Ph...