Hayes WS - Search Results

1

Information needs and the role of text mining in drug development.

Roberts PM, Hayes WS. Roberts PM, et al. Among authors: hayes ws. Pac Symp Biocomput. 2008:592-603. Pac Symp Biocomput. 2008. PMID: 18229718 Free article.

2

Advances in text analytics for drug discovery.

Roberts PM, Hayes WS. Roberts PM, et al. Among authors: hayes ws. Curr Opin Drug Discov Devel. 2005 May;8(3):323-8. Curr Opin Drug Discov Devel. 2005. PMID: 15892247 Review.

3

Reputation-based collaborative network biology.

sbv IMPROVER Project Team; Binder J, Boue S, Di Fabio A, Fields RB, Hayes W, Hoeng J, Park JS, Peitsch MC. sbv IMPROVER Project Team, et al. Pac Symp Biocomput. 2015:270-81. Pac Symp Biocomput. 2015. PMID: 25592588 Free article.

4

Novel approaches to develop community-built biological network models for potential drug discovery.

Talikka M, Bukharov N, Hayes WS, Hofmann-Apitius M, Alexopoulos L, Peitsch MC, Hoeng J. Talikka M, et al. Among authors: hayes ws. Expert Opin Drug Discov. 2017 Aug;12(8):849-857. doi: 10.1080/17460441.2017.1335302. Epub 2017 Jun 6. Expert Opin Drug Discov. 2017. PMID: 28585481 Review.

5

Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL).

Fluck J, Madan S, Ansari S, Kodamullil AT, Karki R, Rastegar-Mojarad M, Catlett NL, Hayes W, Szostak J, Hoeng J, Peitsch M. Fluck J, et al. Database (Oxford). 2016 Aug 23;2016:baw113. doi: 10.1093/database/baw113. Print 2016. Database (Oxford). 2016. PMID: 27554092 Free PMC article.

6

Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems.

Boué S, Talikka M, Westra JW, Hayes W, Di Fabio A, Park J, Schlage WK, Sewer A, Fields B, Ansari S, Martin F, Veljkovic E, Kenney R, Peitsch MC, Hoeng J. Boué S, et al. Database (Oxford). 2015 Apr 17;2015:bav030. doi: 10.1093/database/bav030. Print 2015. Database (Oxford). 2015. PMID: 25887162 Free PMC article.

7

On Crowd-verification of Biological Networks.

sbv IMPROVER project team (in alphabetical order); Ansari S, Binder J, Boue S, Di Fabio A, Hayes W, Hoeng J, Iskandar A, Kleiman R, Norel R, O'Neel B, Peitsch MC, Poussin C, Pratt D, Rhrissorrakrai K, Schlage WK, Stolovitzky G, Talikka M. sbv IMPROVER project team (in alphabetical order), et al. Bioinform Biol Insights. 2013 Oct 10;7:307-25. doi: 10.4137/BBI.S12932. eCollection 2013. Bioinform Biol Insights. 2013. PMID: 24151423 Free PMC article.

8

WHAT CONCERNS CMOs IN THE MOVE FROM VOLUME TO VALUE?

Hayes WS, Donatelli D, Fabius R. Hayes WS, et al. Physician Leadersh J. 2015 Jul-Aug;2(4):18-22. Physician Leadersh J. 2015. PMID: 26285390 No abstract available.

9

Use evidence to put prevention in context. How to make sense of the many studies on anti-infective catheters.

Hayes WS. Hayes WS. Mater Manag Health Care. 2009 Aug;18(8):18-21. Mater Manag Health Care. 2009. PMID: 19777771

10

Missing evidence.

Hayes WS. Hayes WS. MLO Med Lab Obs. 2008 Oct;40(10):68. MLO Med Lab Obs. 2008. PMID: 18988559 No abstract available.

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