Zobrazeno 1 - 10
of 20
pro vyhledávání: '"William Meyerson"'
Autor:
Jing Zhang, Donghoon Lee, Vineet Dhiman, Peng Jiang, Jie Xu, Patrick McGillivray, Hongbo Yang, Jason Liu, William Meyerson, Declan Clarke, Mengting Gu, Shantao Li, Shaoke Lou, Jinrui Xu, Lucas Lochovsky, Matthew Ung, Lijia Ma, Shan Yu, Qin Cao, Arif Harmanci, Koon-Kiu Yan, Anurag Sethi, Gamze Gürsoy, Michael Rutenberg Schoenberg, Joel Rozowsky, Jonathan Warrell, Prashant Emani, Yucheng T. Yang, Timur Galeev, Xiangmeng Kong, Shuang Liu, Xiaotong Li, Jayanth Krishnan, Yanlin Feng, Juan Carlos Rivera-Mulia, Jessica Adrian, James R Broach, Michael Bolt, Jennifer Moran, Dominic Fitzgerald, Vishnu Dileep, Tingting Liu, Shenglin Mei, Takayo Sasaki, Claudia Trevilla-Garcia, Su Wang, Yanli Wang, Chongzhi Zang, Daifeng Wang, Robert J. Klein, Michael Snyder, David M. Gilbert, Kevin Yip, Chao Cheng, Feng Yue, X. Shirley Liu, Kevin P. White, Mark Gerstein
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
ENCODE is a resource comprising thousands of functional genomic datasets. Here, the authors present custom annotation within ENCODE for cancer, highlighting a workflow that can help prioritise key elements in oncogenesis.
Externí odkaz:
https://doaj.org/article/d3ef1766b33842a5aa6bd3194efeba4e
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-22 (2020)
Abstract Background Mutations arise in the human genome in two major settings: the germline and the soma. These settings involve different inheritance patterns, time scales, chromatin structures, and environmental exposures, all of which impact the r
Externí odkaz:
https://doaj.org/article/7cbe9719ccf644bc80142241e6950369
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
There are many methods to detect cancer-driving mutations. Here, the authors harness the variant allele frequency of mutations in tumor cells of a single individual to present a method that can estimate growth patterns and identify driver gene evolut
Externí odkaz:
https://doaj.org/article/6c6a5bf56eac4983a05e8f4f824a7d1c
Autor:
Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson, Mark Gerstein
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a specific application subdomain, in t
Externí odkaz:
https://doaj.org/article/87af48c4265343c5950599e90d4d8cd4
Autor:
Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel Rozowsky, William Meyerson, Mark B Gerstein
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 4, p e1004132 (2015)
The topology of the gene-regulatory network has been extensively analyzed. Now, given the large amount of available functional genomic data, it is possible to go beyond this and systematically study regulatory circuits in terms of logic elements. To
Externí odkaz:
https://doaj.org/article/8e2243200e4e4db7bebb367523bca624
Autor:
William Meyerson, Sarah Kathryn Fineberg, Fernanda C. Andrade, Philip R. Corlett, Mark B Gerstein, Rick H. Hoyle
Public health officials and clinicians routinely advise social media users to avoid nighttime social media use due to the perception that this delays the onset of sleep and predisposes to the health risks of insufficient sleep. With some exceptions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92b9df145b99784d7dd11b529dd63e45
https://doi.org/10.31234/osf.io/vgq76
https://doi.org/10.31234/osf.io/vgq76
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Nature Communications
Nature Communications
Tumors accumulate thousands of mutations, and sequencing them has given rise to methods for finding cancer drivers via mutational recurrence. However, these methods require large cohorts and underperform for low recurrence. Recently, ultra-deep seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::371a0497c44a78cb9e2433c98ee4e123
https://doaj.org/article/6c6a5bf56eac4983a05e8f4f824a7d1c
https://doaj.org/article/6c6a5bf56eac4983a05e8f4f824a7d1c
Autor:
William Meyerson, Sarah Kathryn Fineberg, Ye Kyung Song, Adam Faber, Garrett I. Ash, Fernanda C. Andrade, Philip R. Corlett, Mark B Gerstein, Rick H. Hoyle
Background: Social media usage is both a potential influencer of human sleep and a research tool for understanding human sleep more generally. For both reasons, there is a growing interest in understanding the sleep patterns of social media users. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84e2b855d978de1b33486c32fb9db3ef
https://doi.org/10.31234/osf.io/9mpbw
https://doi.org/10.31234/osf.io/9mpbw
Autor:
Dimakatso A. Ramagole, Gamze Gürsoy, Temiloluwa Prioleau, Julien S. Baker, Stephanie Griggs, Chiara Fossati, Laurie Ann Scher, Ioannis Vogiatzis, Nancy S. Redeker, Kumpei Tanisawa, Elias K. Spanakis, Robert Jarrin, Michael A. Busa, Sandra Rozenstoka, Dina Christina Janse van Rensburg, Lisa M. Fucito, Jason Liu, Bernd Wolfarth, Jeroen Swart, Andre Debruyne, Fabio Pigozzi, Mats Börjesson, Laura M. Nally, Xinxin Zhu, Walter Roberts, Robert A. Huggins, Norbert Bachl, Mark Gerstein, Matthew Stults-Kolehmainen, Borja Muniz-Pardos, Esmeralda Megally, Irina Zelenkova, Michael S. Businelle, Stuart A. Weinzimer, William Meyerson, Lauren A. Grieco, Allison E. Gaffey, José A. Casajús, Kate Lyden, A. González-Agüero, Konstantinos Angeloudis, Farzin Halabchi, Yannis P. Pitsiladis, Bobak J. Mortazavi, Garrett I. Ash, Dov Greenbaum, Robert Gregory, Cynthia Brandt
Publikováno v:
Sports Med
Millions of consumer sport and fitness wearables (CSFWs) are used worldwide, and millions of datapoints are generated by each device. Moreover, these numbers are rapidly growing, and they contain a heterogeneity of devices, data types, and contexts f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f45086a58b0dd074a3a85cd6b5092a2
Autor:
Sushant Kumar, Mark Gerstein, Jing Zhang, Patrick McGillivray, Holly Zhou, William Meyerson, Declan Clarke, Mengting Gu, Dong-Hoon Lee
Publikováno v:
Annual Review of Biomedical Data Science. 1:153-180
Biomedical data scientists study many types of networks, ranging from those formed by neurons to those created by molecular interactions. People often criticize these networks as uninterpretable diagrams termed hairballs; however, here we show that m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d42df17763709fb747940ff3ea6988
https://doi.org/10.1146/annurev-biodatasci-080917-013444
https://doi.org/10.1146/annurev-biodatasci-080917-013444