MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
about
Detecting Genes and Gene-gene Interactions for Age-related Macular Degeneration with a Forest-based ApproachAntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm.Role for protein-protein interaction databases in human genetics.Epistatic association mapping in homozygous crop cultivars.Genome-wide interaction-based association analysis identified multiple new susceptibility Loci for common diseasesLack of replication of interactions between polymorphisms in rheumatoid arthritis susceptibility: case-control study.eQTL Epistasis - Challenges and Computational Approaches.A 20 year history of clinical and genetic study of thyroid autoimmunity in a Tunisian multigenerational family: Evidence for gene interaction.An epistatic interaction between the PAX8 and STK17B genes in papillary thyroid cancer susceptibility.Using information interaction to discover epistatic effects in complex diseasesRisk estimation and risk prediction using machine-learning methods.KNN-MDR: a learning approach for improving interactions mapping performances in genome wide association studies.A comment on two-locus epistatic interaction models for genome-wide association studies.Identification of a combination of SNPs associated with Graves' disease using swarm intelligence.
P2860
Q33565098-A83DE157-FABE-457F-86D0-D921C302127FQ33567152-6BEDFEAA-9EE9-4047-B89E-A075BDC90B13Q33619990-D5256B0A-C378-4CED-A49F-626E12D0EED1Q33851406-2896528E-9276-488C-988C-CE158BB9F920Q33855666-5A48BB77-F8B9-4C13-A6CE-FDA956B39ACFQ34393009-4DE34DC0-2008-448F-827C-83207670699AQ34765476-F11A942B-007A-4974-97A8-22159CC0F5D2Q34878612-BD84BC28-E4E8-4207-9C79-82E6E9369F3CQ35005124-BBB3AEB2-C4BB-401F-BCAF-269F507650E7Q35032283-6F837979-B576-42C1-9C18-090B6D0294D8Q36203499-B680AA90-6EA3-4A9B-890B-6094BD8A6142Q36317343-13040A38-EF38-4C3B-8C61-AC9D0C878571Q38975564-B5A15837-4A36-4F47-A545-3A5833640859Q51603375-834903E9-7F6F-4672-9EA0-3B4D2F22DD1F
P2860
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
MegaSNPHunter: a learning appr ...... genome wide association study.
@ast
MegaSNPHunter: a learning appr ...... genome wide association study.
@en
type
label
MegaSNPHunter: a learning appr ...... genome wide association study.
@ast
MegaSNPHunter: a learning appr ...... genome wide association study.
@en
prefLabel
MegaSNPHunter: a learning appr ...... genome wide association study.
@ast
MegaSNPHunter: a learning appr ...... genome wide association study.
@en
P2860
P50
P356
P1433
P1476
MegaSNPHunter: a learning appr ...... genome wide association study.
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-10-13
P577
2009-01-09T00:00:00Z