Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Rasool Tahmasbi"'
Autor:
Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa F. Polania, Marjorie Sayer, Jake Taylor, Claudionor Nunes Coelho
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954697
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5d7b708c0492d3c4c3e97e467f9b48
https://doi.org/10.1007/978-3-030-95470-3_1
https://doi.org/10.1007/978-3-030-95470-3_1
Publikováno v:
Circulation. Genomic and precision medicine. 13(6)
Background: In this study, we aimed to investigate functional mechanisms underlying coronary artery disease (CAD) loci and find molecular biomarkers for CAD. Methods: We devised a multiomics data analysis approach based on Mendelian randomization and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fd98b6fba1182910dcb79bf7aeefe46
https://pubmed.ncbi.nlm.nih.gov/32969717
https://pubmed.ncbi.nlm.nih.gov/32969717
Autor:
Luke M. Evans, Michael E. Goddard, Rasool Tahmasbi, Sayantan Das, Douglas W. Bjelland, Gonçalo R. Abecasis, Scott I. Vrieze, Jian Yang, Matthew C. Keller, Teresa R de Candia, Peter M. Visscher, Benjamin M. Neale, Steven Gazal
Publikováno v:
Nature genetics
Multiple methods have been developed to estimate narrow-sense heritability, h2, using single nucleotide polymorphisms (SNPs) in unrelated individuals. However, a comprehensive evaluation of these methods has not yet been performed, leading to confusi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f5e0c9ce0187d3a4f5a0cb74c6b875
https://doi.org/10.1038/s41588-018-0108-x
https://doi.org/10.1038/s41588-018-0108-x
Autor:
Matthew C. Keller, Jian Yang, Teresa R de Candia, Matt Jones, Lindon J. Eaves, Michael E. Goddard, Rasool Tahmasbi, David M. Evans, Luke M. Evans, Peter M. Visscher
Publikováno v:
European Neuropsychopharmacology. 29:S788-S789
Background Mates are similar to one another across a large number of traits, including liabilities underlying psychiatric disorders. It has long been known that when such phenotypic similarity implies genetic similarity (hereafter, assortative mating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28e54da4e57eeb2affe69b3b480e27d
https://doi.org/10.1016/j.euroneuro.2017.08.016
https://doi.org/10.1016/j.euroneuro.2017.08.016
Autor:
Matthew C. Keller, Rasool Tahmasbi
Publikováno v:
Bioinformatics. 33:294-296
Motivation Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604250bbb17e5f1fbd6a53afd29efec2
https://doi.org/10.1093/bioinformatics/btw606
https://doi.org/10.1093/bioinformatics/btw606
The environment can moderate the effect of genes – a phenomenon called gene-environment (GxE) interaction. There are two broad types of GxE modeled in human behavior – qualitative GxE, where the effects of individual genetic variants differ depen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbfa264ba97ecb8dc587dca322a34a4d
Autor:
Matthew C. Keller, Teresa R de Candia, Luke M. Evans, Sayantan Das, Gonçalo R. Abecasis, Michael E. Goddard, Douglas W. Bjelland, Benjamin M. Neale, Scott I. Vrieze, Peter M. Visscher, Jian Yang, Rasool Tahmasbi
Heritability, h2, is a foundational concept in genetics, critical to understanding the genetic basis of complex traits. Recently-developed methods that estimate heritability from genotyped SNPs, h2SNP, explain substantially more genetic variance than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbe25115765809a68e524b73e5cfe55a
Autor:
S. Mehdi Hashemi, Rasool Tahmasbi
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:250-259
Traffic flow prediction can be used for the management of traffic control systems and can be applied toward improving traffic light split times at intersections. In this paper, we developed a methodology for the short-term prediction of traffic flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f9e079edff23ec143a2f1dd924acd2a
https://doi.org/10.1109/tits.2013.2278614
https://doi.org/10.1109/tits.2013.2278614
Publikováno v:
Computers & Operations Research. 40:1744-1751
In this paper, we study the maximum flow problem in stochastic networks with random arc failures. We present the concept of expected value of a given flow and seek a flow whose expected value is maximum. We also introduce the concept of expected capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7770bff453725751b5675912f6d466c8
https://doi.org/10.1016/j.cor.2013.01.004
https://doi.org/10.1016/j.cor.2013.01.004
Publikováno v:
Sankhya B. 73:331-359
A new distribution is proposed for modeling lifetime data. It has better hazard rate properties than the gamma, lognormal and the Weibull distributions. A comprehensive account of the mathematical properties of the new distribution including estimati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb2278b901a23dbd261544a9fe0c4234
https://doi.org/10.1007/s13571-011-0025-9
https://doi.org/10.1007/s13571-011-0025-9