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Genome Biology
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October 5, 2017
MetaGen: reference-free learning with multiple metagenomic samples
Xin Xing, Jun S Liu, Wenxuan Zhong
American Journal of Human Genetics
|
July 11, 2006
A coalescence-guided hierarchical Bayesian method for haplotype inference
Yu Zhang, Tianhua Niu, Jun S Liu
Bioinformatics (Oxford, England)
|
January 12, 2022
A data-adaptive Bayesian regression approach for polygenic risk prediction
Shuang Song, Lin Hou, Jun S Liu
Bioinformatics (Oxford, England)
|
April 17, 2009
Bayesian inference of protein-protein interactions from biological literature
Rajesh Chowdhary, Jinfeng Zhang, Jun S Liu
Genome Research
|
September 4, 2003
Haplotype information and linkage disequilibrium mapping for single nucleotide polymorphisms
Xin Lu, Tianhua Niu, Jun S Liu
American Journal of Human Genetics
|
November 28, 2002
Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms
Zhaohui S Qin, Tianhua Niu, Jun S Liu
Genome Biology
|
July 7, 2017
Revisit linear regression-based deconvolution methods for tumor gene expression data
Bo Li, Jun S Liu, X Shirley Liu
The Journal of Chemical Physics
|
June 22, 2007
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
Jinfeng Zhang, S C Kou, Jun S Liu
Bioinformatics (Oxford, England)
|
August 18, 2005
Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes
Shane T Jensen, Lei Shen, Jun S Liu
The Annals of Applied Statistics
|
December 6, 2011
BLOCK-BASED BAYESIAN EPISTASIS ASSOCIATION MAPPING WITH APPLICATION TO WTCCC TYPE 1 DIABETES DATA
By Yu Zhang, Jing Zhang, Jun S Liu
Page
of 16
Search research articles
Search
Showing results (21-30 of 153) with videos related to
Sort By:
Page
of 16
Genome Biology
|
October 5, 2017
MetaGen: reference-free learning with multiple metagenomic samples
Xin Xing, Jun S Liu, Wenxuan Zhong
American Journal of Human Genetics
|
July 11, 2006
A coalescence-guided hierarchical Bayesian method for haplotype inference
Yu Zhang, Tianhua Niu, Jun S Liu
Bioinformatics (Oxford, England)
|
January 12, 2022
A data-adaptive Bayesian regression approach for polygenic risk prediction
Shuang Song, Lin Hou, Jun S Liu
Bioinformatics (Oxford, England)
|
April 17, 2009
Bayesian inference of protein-protein interactions from biological literature
Rajesh Chowdhary, Jinfeng Zhang, Jun S Liu
Genome Research
|
September 4, 2003
Haplotype information and linkage disequilibrium mapping for single nucleotide polymorphisms
Xin Lu, Tianhua Niu, Jun S Liu
American Journal of Human Genetics
|
November 28, 2002
Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms
Zhaohui S Qin, Tianhua Niu, Jun S Liu
Genome Biology
|
July 7, 2017
Revisit linear regression-based deconvolution methods for tumor gene expression data
Bo Li, Jun S Liu, X Shirley Liu
The Journal of Chemical Physics
|
June 22, 2007
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
Jinfeng Zhang, S C Kou, Jun S Liu
Bioinformatics (Oxford, England)
|
August 18, 2005
Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes
Shane T Jensen, Lei Shen, Jun S Liu
The Annals of Applied Statistics
|
December 6, 2011
BLOCK-BASED BAYESIAN EPISTASIS ASSOCIATION MAPPING WITH APPLICATION TO WTCCC TYPE 1 DIABETES DATA
By Yu Zhang, Jing Zhang, Jun S Liu
Page
of 16