Supervised learning-based tagSNP selection for genome-wide disease classifications.
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A special local clustering algorithm for identifying the genes associated with Alzheimer's diseasePromoting synergistic research and education in genomics and bioinformatics.Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare researchWrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.A support vector machine approach to assess drug efficacy of interferon-alpha and ribavirin combination therapy.
P2860
Supervised learning-based tagSNP selection for genome-wide disease classifications.
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2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@ast
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@en
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@nl
type
label
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@ast
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@en
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@nl
prefLabel
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@ast
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@en
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@nl
P2093
P2860
P1433
P1476
Supervised learning-based tagSNP selection for genome-wide disease classifications.
@en
P2093
Andrew H Sung
Mary Qu Yang
Qingzhong Liu
Xudong Huang
Zhongxue Chen
P2860
P2888
P356
10.1186/1471-2164-9-S1-S6
P407
P478
P577
2008-01-01T00:00:00Z
P5875
P6179
1019369042