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» Gene selection via the BAHSIC family of algorithms
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BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
13 years 9 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
BMCBI
2007
110views more  BMCBI 2007»
13 years 5 months ago
Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
Background: The design of long oligonucleotides for spotted DNA microarrays requires detailed attention to ensure their optimal performance in the hybridization process. The main ...
Guangan Hu, Manuel Llinás, Jingguang Li, Pe...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
14 years 5 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
BMCBI
2008
125views more  BMCBI 2008»
13 years 5 months ago
Tandem duplication, circular permutation, molecular adaptation: how Solanaceae resist pests via inhibitors
Background: The Potato type II (Pot II) family of proteinase inhibitors plays critical roles in the defense system of plants from Solanaceae family against pests. To better unders...
Lesheng Kong, Shoba Ranganathan
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 3 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