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Bioinformatics (Oxford, England)
|
May 23, 2014
FamLBL: detecting rare haplotype disease association based on common SNPs using case-parent triads
Meng Wang, Shili Lin
BMC Proceedings
|
December 19, 2009
Detection of imprinting and heterogeneous maternal effects on high blood pressure using Framingham Heart Study data
Jingyuan Yang, Shili Lin
Genetic Epidemiology
|
September 1, 2020
Detecting X-linked common and rare variant effects in family-based sequencing studies
Asuman S Turkmen, Shili Lin
BMC Proceedings
|
December 19, 2014
Identifying rare variant associations in population-based and family-based designs
Asuman S Turkmen, Shili Lin
Bioinformatics (Oxford, England)
|
January 23, 2015
GrammR: graphical representation and modeling of count data with application in metagenomics
Deepak Nag Ayyala, Shili Lin
Plos One
|
January 28, 2014
Blocking approach for identification of rare variants in family-based association studies
Asuman S Turkmen, Shili Lin
BMC Proceedings
|
March 1, 2012
Gene-based partial least-squares approaches for detecting rare variant associations with complex traits
Asuman S Turkmen, Shili Lin
Genetic Epidemiology
|
June 19, 2003
Linkage analysis with sequential imputation
Zachary Skrivanek, Shili Lin, Mark Irwin
Briefings in Bioinformatics
|
November 17, 2020
Are dropout imputation methods for scRNA-seq effective for scHi-C data?
Chenggong Han, Qing Xie, Shili Lin
Biodata Mining
|
December 23, 2015
Network construction and structure detection with metagenomic count data
Zhenqiu Liu, Shili Lin, Steven Piantadosi
Page
of 15
Search research articles
Search
Showing results (41-50 of 145) with videos related to
Sort By:
Page
of 15
Bioinformatics (Oxford, England)
|
May 23, 2014
FamLBL: detecting rare haplotype disease association based on common SNPs using case-parent triads
Meng Wang, Shili Lin
BMC Proceedings
|
December 19, 2009
Detection of imprinting and heterogeneous maternal effects on high blood pressure using Framingham Heart Study data
Jingyuan Yang, Shili Lin
Genetic Epidemiology
|
September 1, 2020
Detecting X-linked common and rare variant effects in family-based sequencing studies
Asuman S Turkmen, Shili Lin
BMC Proceedings
|
December 19, 2014
Identifying rare variant associations in population-based and family-based designs
Asuman S Turkmen, Shili Lin
Bioinformatics (Oxford, England)
|
January 23, 2015
GrammR: graphical representation and modeling of count data with application in metagenomics
Deepak Nag Ayyala, Shili Lin
Plos One
|
January 28, 2014
Blocking approach for identification of rare variants in family-based association studies
Asuman S Turkmen, Shili Lin
BMC Proceedings
|
March 1, 2012
Gene-based partial least-squares approaches for detecting rare variant associations with complex traits
Asuman S Turkmen, Shili Lin
Genetic Epidemiology
|
June 19, 2003
Linkage analysis with sequential imputation
Zachary Skrivanek, Shili Lin, Mark Irwin
Briefings in Bioinformatics
|
November 17, 2020
Are dropout imputation methods for scRNA-seq effective for scHi-C data?
Chenggong Han, Qing Xie, Shili Lin
Biodata Mining
|
December 23, 2015
Network construction and structure detection with metagenomic count data
Zhenqiu Liu, Shili Lin, Steven Piantadosi
Page
of 15