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» Gene Selection via Matrix Factorization
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SIGIR
2008
ACM
13 years 5 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
BMCBI
2010
106views more  BMCBI 2010»
13 years 5 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
BMCBI
2008
130views more  BMCBI 2008»
13 years 5 months ago
Gene Prospector: An evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseas
Background: Millions of single nucleotide polymorphisms have been identified as a result of the human genome project and the rapid advance of high throughput genotyping technology...
Wei Yu, Anja Wulf, Tiebin Liu, Muin J. Khoury, Mar...
BMCBI
2008
190views more  BMCBI 2008»
13 years 5 months ago
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
Guy N. Brock, John R. Shaffer, Richard E. Blakesle...
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 4 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb