about
A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits.Identification of gene interactions associated with disease from gene expression data using synergy networks.Self-correcting maps of molecular pathways.Joint study of genetic regulators for expression traits related to breast cancer.Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm.Pattern-based mining strategy to detect multi-locus association and gene x environment interaction.Selecting informative genes for discriminant analysis using multigene expression profiles.Inference of regulatory gene interactions from expression data using three-way mutual information.Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes.Identifying rare disease variants in the Genetic Analysis Workshop 17 simulated data: a comparison of several statistical approaches.Probing genetic overlap among complex human phenotypes.LATENT DEMOGRAPHIC PROFILE ESTIMATION IN HARD-TO-REACH GROUPS.How many people do you know?: Efficiently estimating personal network size.The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16Framework for making better predictions by directly estimating variables' predictivity.A molecular signature predictive of indolent prostate cancer.Backward genotype-trait association (BGTA)-based dissection of complex traits in case-control designs.Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies.Segregation in social networks based on acquaintanceship and trust.Genome-wide association analyses of expression phenotypes.Genetic and molecular characterization of a blue light photoreceptor MGWC-1 in Magnaporth oryzae.Inferential clustering approach for microarray experiments with replicated measurements.Assessing Substitution Variation Across Sites in Grass Chloroplast DNAIdentifying Genomic Regulators of Set-Wise Co-Expression
P50
Q30879485-45449656-1D56-4A53-9420-02B03CF8791FQ31144746-32A2113E-9552-4093-8745-EC678024C3F3Q33267322-21619A51-4983-41B4-856F-CF7038C5708FQ33332757-3400AE7B-E67D-4849-87C8-885E98D1485BQ33332815-EC099D21-3D69-43F7-A38B-096969D61823Q33332883-66DA6263-89A1-418B-8EF8-E7E1A0B67B1EQ33373546-D1C1C77E-3465-4755-8F08-998066663C42Q33427189-E6B34FF4-709A-41DE-98E1-A96C1E643ED2Q33519375-5F755567-C8F1-496C-B450-DDC06BED8523Q34175438-63190368-3B5C-4112-9458-7694509EA5DDQ35868799-1A4ED0FD-76DE-41BC-AA6F-863C328406DDQ36664321-058C41EB-4977-4733-AD85-5ED1F5ECD3DBQ36883176-AA5E9018-7678-4511-9ED6-165AEF60D32FQ36954418-C1413C15-2D22-48D7-8E5D-E913EF824DBAQ37515075-E61C0D52-B4D8-4BCA-977E-58AF156A01FFQ37618807-8BE6452D-DA94-498F-B48E-03C013231A66Q42576664-AB282AC4-B318-439B-916C-9AE789C288D8Q42666695-8FAB4563-49AF-46CB-A90C-F18EBC4B96EFQ43414183-306E30AD-75F0-45B9-BDF3-DD861E449E93Q45964980-496BB59F-F8B4-4774-A2C1-6D478F6984FCQ50283995-40CC4679-7677-48A2-AA83-0EC8069EC984Q51779366-2B09DB83-0494-42F8-B56B-254FE65F45F2Q61808963-722E69C7-9858-4F35-B305-0856C0DCEBB8Q61808985-DB750323-6754-41E8-9149-2E9C91BDD021
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
ricercatore
@it
հետազոտող
@hy
name
Tian Zheng
@ast
Tian Zheng
@en
Tian Zheng
@es
Tian Zheng
@nl
Tian Zheng
@sl
type
label
Tian Zheng
@ast
Tian Zheng
@en
Tian Zheng
@es
Tian Zheng
@nl
Tian Zheng
@sl
prefLabel
Tian Zheng
@ast
Tian Zheng
@en
Tian Zheng
@es
Tian Zheng
@nl
Tian Zheng
@sl
P214
P106
P21
P214
P31
P496
0000-0003-4889-0391
P569
2000-01-01T00:00:00Z