Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shuang Wang"'
Publikováno v:
Bioinformatics.
Motivation Many studies have successfully used network information to prioritize candidate omics profiles associated with diseases. The metabolome, as the link between genotypes and phenotypes, has accumulated growing attention. Using a ”multi-omic
Publikováno v:
Bioinformatics
MotivationThe generalized linear mixed model (GLMM) is an extension of the generalized linear model (GLM) in which the linear predictor takes random effects into account. Given its power of precisely modeling the mixed effects from multiple sources o
Publikováno v:
Bioinformatics. 36:4902-4909
Motivation MicroRNAs (miRNAs) are small non-coding RNAs that have been successfully identified to be differentially expressed in various cancers. However, some miRNAs were reported to be up-regulated in one subtype of a cancer but down-regulated in a
Publikováno v:
Bioinformatics
Motivation Deoxyribonucleic acid (DNA) methylation plays a crucial role in human health. Studies have demonstrated associations between DNA methylation and environmental factors with evidence also supporting the idea that DNA methylation may modify t
Autor:
Jihoon Kim, Zhanglong Ji, Meng Wang, Lucila Ohno-Machado, Xiaoqian Jiang, Shuang Wang, Hai Yang
Publikováno v:
Bioinformatics. 33:3716-3725
Motivation Inappropriate disclosure of human genomes may put the privacy of study subjects and of their family members at risk. Existing privacy-preserving mechanisms for Genome-Wide Association Studies (GWAS) mainly focus on protecting individual in
Autor:
Hokeun Sun, Shuang Wang
Publikováno v:
Bioinformatics. 30:2317-2323
Motivation: Existing association methods for rare variants from sequencing data have focused on aggregating variants in a gene or a genetic region because of the fact that analysing individual rare variants is underpowered. However, these existing ra
Autor:
Lucila Ohno-Machado, Shuang Wang, Wenchao Jiang, Xiaoqian Jiang, Meng Xue, Pinghao Li, Yuan Wu
Publikováno v:
Scopus-Elsevier
WebGLORE is a free web service that enables privacy-preserving construction of a global logistic regression model from distributed datasets that are sensitive. It only transfers aggregated local statistics (from participants) through Hypertext Transf
Autor:
Meng Wang, Zhanglong Ji, Shuang Wang, Jihoon Kim, Hai Yang, Xiaoqian Jiang, Ohno-Machado, Lucila
Publikováno v:
Bioinformatics; 12/1/2017, Vol. 33 Issue 23, p3716-3725, 10p
Publikováno v:
Bioinformatics; 6/15/2017, Vol. 33 Issue 12, p1765-1772, 8p
Autor:
Feng Chen, Shuang Wang, Xiaoqian Jiang, Sijie Ding, Yao Lu, Jihoon Kim, Sahinalp, S. Cenk, Chisato Shimizu, Burns, Jane C., Wright, Victoria J., Png, Eileen, Hibberd, Martin L., Lloyd, David D., Hai Yang, Telenti, Amalio, Bloss, Cinnamon S., Fox, Dov, Lauter, Kristin, Ohno-Machado, Lucila
Publikováno v:
Bioinformatics; 3/15/2017, Vol. 33 Issue 6, p871-878, 8p