Zobrazeno 1 - 10
of 133
pro vyhledávání: '"David J Wild"'
Autor:
Jeremy J. Yang, Christopher R. Gessner, Joel L. Duerksen, Daniel Biber, Jessica L. Binder, Murat Ozturk, Brian Foote, Robin McEntire, Kyle Stirling, Ying Ding, David J. Wild
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background LINCS, "Library of Integrated Network-based Cellular Signatures", and IDG, "Illuminating the Druggable Genome", are both NIH projects and consortia that have generated rich datasets for the study of the molecular basis of human he
Externí odkaz:
https://doaj.org/article/617631aa642441e5817ac47c708f9dc7
Autor:
Abhik Seal, David J. Wild
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-10 (2018)
Abstract Background Netpredictor is an R package for prediction of missing links in any given unipartite or bipartite network. The package provides utilities to compute missing links in a bipartite and well as unipartite networks using Random Walk wi
Externí odkaz:
https://doaj.org/article/0e83a6627e51423f9c5ca2f570c00091
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-12 (2018)
Abstract Tuberculosis (TB) is the world’s leading infectious killer with 1.8 million deaths in 2015 as reported by WHO. It is therefore imperative that alternate routes of identification of novel anti-TB compounds are explored given the time and co
Externí odkaz:
https://doaj.org/article/b77d711ab161429aa385405394f415b5
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-27
Pandemic-tracking apps may form a future infrastructure for public health surveillance. Yet, there has been relatively little exploration of the potential societal implications of such an infrastructure. In semi-structured interviews with 23 particip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8539b95438d9aaa27dd26d20a12444c
https://doi.org/10.1145/3555586
https://doi.org/10.1145/3555586
Publikováno v:
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-20 (2017)
Abstract Background There are a huge variety of data sources relevant to chemical, biological and pharmacological research, but these data sources are highly siloed and cannot be queried together in a straightforward way. Semantic technologies offer
Externí odkaz:
https://doaj.org/article/34109f79d8954582a9d637985fe84c54
Autor:
Jeremy J. Yang, Lars Juhl Jensen, Tudor I. Oprea, Dhouha Grissa, Cristian Bologa, Christophe G. Lambert, Stephen L. Mathias, Anna Waller, David J. Wild
Publikováno v:
Bioinformatics. 37:3865-3873
Motivation Genome-wide association studies can reveal important genotype–phenotype associations; however, data quality and interpretability issues must be addressed. For drug discovery scientists seeking to prioritize targets based on the available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40023907401b471ef21ea64a0d159a2e
https://doi.org/10.1093/bioinformatics/btab427
https://doi.org/10.1093/bioinformatics/btab427
Autor:
Shaun J. Grannis, Babar A. Khan, Jeremy Park, David J. Wild, Suranga N Kasturi, David A. Haggstrom
Publikováno v:
Journal of Medical Internet Research
Background The COVID-19 pandemic has highlighted the inability of health systems to leverage existing system infrastructure in order to rapidly develop and apply broad analytical tools that could inform state- and national-level policymaking, as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f79dd5a33b312a7e887f9c4b2fdac3c
http://europepmc.org/articles/PMC8594735
http://europepmc.org/articles/PMC8594735
Autor:
Jonathan A Lee, Paul Shinn, Susan Jaken, Sarah Oliver, Francis S Willard, Steven Heidler, Robert B Peery, Jennifer Oler, Shaoyou Chu, Noel Southall, Thomas S Dexheimer, Jeffrey Smallwood, Ruili Huang, Rajarshi Guha, Ajit Jadhav, Karen Cox, Christopher P Austin, Anton Simeonov, G Sitta Sittampalam, Saba Husain, Natalie Franklin, David J Wild, Jeremy J Yang, Jeffrey J Sutherland, Craig J Thomas
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0130796 (2015)
Phenotypic assays have a proven track record for generating leads that become first-in-class therapies. Whole cell assays that inform on a phenotype or mechanism also possess great potential in drug repositioning studies by illuminating new activitie
Externí odkaz:
https://doaj.org/article/1946423edacf41cd981806581d41073c
Autor:
Brian Foote, Christopher Gessner, Jessica L. Binder, Kyle Stirling, Joel L Duerksen, Daniel Biber, Ying Ding, Jeremy J. Yang, Murat Ozturk, Robin McEntire, David J. Wild
BackgroundLINCS, “Library of Integrated Network-based Cellular Signatures”, and IDG, “Illuminating the Druggable Genome”, are both NIH projects and consortia that have generated rich datasets for the study of the molecular basis of human heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cdff7ed12d540016ffddf9401d7fa7f
https://doi.org/10.1101/2020.12.30.424881
https://doi.org/10.1101/2020.12.30.424881
