Zobrazeno 1 - 10
of 83
pro vyhledávání: '"David J Wild"'
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
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 7, p e1002574 (2012)
The rapidly increasing amount of public data in chemistry and biology provides new opportunities for large-scale data mining for drug discovery. Systematic integration of these heterogeneous sets and provision of algorithms to data mine the integrate
Externí odkaz:
https://doaj.org/article/4dc64b09f74c404187701630366f6f34
Autor:
Pulan Yu, David J Wild
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e51018 (2012)
Associative classification mining (ACM) can be used to provide predictive models with high accuracy as well as interpretability. However, traditional ACM ignores the difference of significances among the features used for mining. Although weighted as
Externí odkaz:
https://doaj.org/article/d31d84f310f5413aabf3f47c396bd071
Publikováno v:
PLoS ONE, Vol 6, Iss 3, p e17243 (2011)
The overwhelming amount of available scholarly literature in the life sciences poses significant challenges to scientists wishing to keep up with important developments related to their research, but also provides a useful resource for the discovery
Externí odkaz:
https://doaj.org/article/807bf1c0b3a04b67b7573d0acad5441b
Autor:
Bing He, Jie Tang, Ying Ding, Huijun Wang, Yuyin Sun, Jae Hong Shin, Bin Chen, Ganesh Moorthy, Judy Qiu, Pankaj Desai, David J Wild
Publikováno v:
PLoS ONE, Vol 6, Iss 12, p e27506 (2011)
Much life science and biology research requires an understanding of complex relationships between biological entities (genes, compounds, pathways, diseases, and so on). There is a wealth of data on such relationships in publicly available datasets an
Externí odkaz:
https://doaj.org/article/dc9be7d0ee9f47dc94dddf2a19814c65
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
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:
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
