Identification of significant genes in genomics using Bayesian variable selection methods.
about
Machine learning and systems genomics approaches for multi-omics data.A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic dataAssociation study of a brain-derived neurotrophic-factor polymorphism and short-term antidepressant response in major depressive disorders.Comparison of classification algorithms with wrapper-based feature selection for predicting osteoporosis outcome based on genetic factors in a taiwanese women population.Bayesian Variable Selection under the Proportional Hazards Mixed-effects Model.Pilot study of an association between a common variant in the non-muscle myosin heavy chain 9 (MYH9) gene and type 2 diabetic nephropathy in a Taiwanese population.
P2860
Identification of significant genes in genomics using Bayesian variable selection methods.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին 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
Identification of significant ...... an variable selection methods.
@ast
Identification of significant ...... an variable selection methods.
@en
type
label
Identification of significant ...... an variable selection methods.
@ast
Identification of significant ...... an variable selection methods.
@en
prefLabel
Identification of significant ...... an variable selection methods.
@ast
Identification of significant ...... an variable selection methods.
@en
P2860
P356
P1476
Identification of significant ...... an variable selection methods.
@en
P2093
Eugene Lin
Lung-Cheng Huang
P2860
P356
10.2147/AABC.S3624
P577
2008-07-01T00:00:00Z