Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chuanhua, Xing"'
Autor:
Chuanhua Xing, David B Dunson
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 7, p e1002110 (2011)
Protein-protein interactions (PPIs) are essential to most fundamental cellular processes. There has been increasing interest in reconstructing PPIs networks. However, several critical difficulties exist in obtaining reliable predictions. Noticeably,
Externí odkaz:
https://doaj.org/article/b417538f58be4b179943ff5586590434
Autor:
Josée Dupuis, James B. Meigs, Xihong Lin, Andrew S. Allen, Chuanhua Xing, L. Adrienne Cupples, Janice M. McCarthy
Publikováno v:
Statistics in Medicine. 35:4226-4237
The case-control study is a common design for assessing the association between genetic exposures and a disease phenotype. Though association with a given (case-control) phenotype is always of primary interest, there is often considerable interest in
Autor:
Philip A. Wolf, Yi-Hsiang Hsu, Sudha Seshadri, Anita L. DeStefano, Nancy L. Heard-Costa, Chuanhua Xing, Douglas P. Kiel, Josée Dupuis, Jie Huang, L. Adrienne Cupples
Publikováno v:
European Journal of Human Genetics. 24:1029-1034
Although emerging sequencing technologies can characterize all genetic variants, the cost is still high. Illumina released the HumanOmni5M-4v1 (Omni5) genotype array with ~4.3M assayed SNPs, a much denser array compared with other available arrays. T
Publikováno v:
BMC Proceedings. 2011 Supplement 9, Vol. 5 Issue Suppl 9, p1-5. 5p. 4 Charts.
Publikováno v:
Nucleic Acids Research
We introduce a new approach in this article to distinguish protein-coding sequences from non-coding sequences utilizing a period-3, free energy signal that arises from the interactions of the 3'-terminal nucleotides of the 18S rRNA with mRNA. We extr
Autor:
Chuanhua, Xing, Janice, M McCarthy, Josée, Dupuis, L, Adrienne Cupples, James, B Meigs, Xihong, Lin, Andrew, S Allen
Publikováno v:
Statistics in medicine. 35(23)
The case-control study is a common design for assessing the association between genetic exposures and a disease phenotype. Though association with a given (case-control) phenotype is always of primary interest, there is often considerable interest in
Publikováno v:
BMC Genetics
Background The CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Sequencing Project is a national, collaborative effort from 3 studies: Framingham Heart Study (FHS), Cardiovascular Health Study (CHS), and Atherosclerosis Risk in C
Autor:
Joshua C. Bis, Kenneth Rice, Jan Bressler, Josée Dupuis, Susan R. Heckbert, Ching-Ti Liu, Donna M. Muzny, Jennifer A. Brody, Xiaoming Liu, Emelia J. Benjamin, Chuanhua Xing, L. Adrienne Cupples, Christopher J. O'Donnell, Renate B. Schnabel, Andi Broka, Charles C. White, Min Wang, Yanhua Zhou, Yuanqing Wu, Christie Kovar, Honghuang Lin, Irene Newsham, Anita L. DeStefano, Bruce M. Psaty, Jeffrey G. Reid, Eric Boerwinkle, Huyen Dinh, Thomas Lumley, Brian C. Davis, Kathryn L. Lunetta, Andrew D. Johnson, Colleen M. Sitlani, Alanna C. Morrison, Mayetri Gupta, Han Chen, Barbara McKnight
Publikováno v:
Circulation. Cardiovascular genetics. 7(3)
Background— Genome-wide association studies have identified thousands of genetic variants that influence a variety of diseases and health-related quantitative traits. However, the causal variants underlying the majority of genetic associations rema
Autor:
Chuanhua Xing
Publikováno v:
Methods in Molecular Biology ISBN: 9781493908349
Protein-coding sequences are characterized by a period-3 free energy signal that arises from the interaction between the 3'-terminal nucleotides of the 18S rRNA and the mRNA. Such a signal is not present in noncoding sequences such as introns and int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fdb0ac4eacf96e593b9dc9ee2c5429
https://doi.org/10.1007/978-1-4939-0835-6_5
https://doi.org/10.1007/978-1-4939-0835-6_5
Publikováno v:
BMC Proceedings, Vol 5, Iss Suppl 9, p S6 (2011)
BMC Proceedings
BMC Proceedings
Currently there is a great deal of interest in developing methods for testing the role that rare variation plays in disease development. Here we propose a weighted association test that accumulates genetic variation across a signaling pathway. We eva