Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gregory Hather"'
Autor:
Alan Talevi, Juan Francisco Morales, Gregory Hather, Jagdeep T. Podichetty, Sarah Kim, Peter C. Bloomingdale, Samuel Kim, Jackson Burton, Joshua D. Brown, Almut G. Winterstein, Stephan Schmidt, Jensen Kael White, Daniela J. Conrado
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 3, Pp 129-142 (2020)
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop
Externí odkaz:
https://doaj.org/article/d5208d0836bd4fb5b198a9feaf57dd9b
Autor:
Gregory Hather, Ray Liu, Syamala Bandi, Jerome Mettetal, Mark Manfredi, Wen-Chyi Shyu, Jill Donelan, Arijit Chakravarty
Publikováno v:
Cancer Informatics, Vol 2014, Iss Suppl. 4, Pp 65-72 (2014)
Externí odkaz:
https://doaj.org/article/a292244d0dbf4fef9ea5bd4c9a08b575
Autor:
Almut G. Winterstein, Gregory Hather, Juan Francisco Morales, Jagdeep T. Podichetty, Jackson Burton, Sarah Kim, Joshua D. Brown, Samuel Kim, Alan Talevi, Daniela J. Conrado, Jensen Kael White, Stephan Schmidt, Peter Bloomingdale
Publikováno v:
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 3, Pp 129-142 (2020)
CPT: Pharmacometrics & Systems Pharmacology
Universidad Nacional de La Plata
instacron:UNLP
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 3, Pp 129-142 (2020)
CPT: Pharmacometrics & Systems Pharmacology
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab29f2318064a0c535c12493d78aa00d
http://sedici.unlp.edu.ar/handle/10915/119195
http://sedici.unlp.edu.ar/handle/10915/119195
Autor:
Sridhar Duvvuri, Carla Biesdorf, Juan Francisco Morales, Brian Corrigan, Klaus Romero, Diane Stephenson, Sreeraj Macha, Hugo Geerts, Malidi Ahamadi, Gregory Hather, Jackson Burton, Jagdeep T. Podichetty, Timothy Nicholas, Daniela J. Conrado, Mirjam N. Trame
Publikováno v:
Clinical pharmacology and therapeutics. 107(4)
Alzheimer's disease (AD) is the leading cause of dementia worldwide. With 35 million people over 60 years of age with dementia, there is an urgent need to develop new treatments for AD. To streamline this process, it is imperative to apply insights a
Autor:
Gregory Hather
Publikováno v:
Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics ISBN: 9783319425672
Risk-based monitoring allows monitors of clinical trial sites to focus their visits on sites with the greatest potential for risk reduction. Here we present a statistical model that recommends sites for the monitor to visit. The model makes use of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f013b9c85f47a80902adb8712be546
https://doi.org/10.1007/978-3-319-42568-9_16
https://doi.org/10.1007/978-3-319-42568-9_16
Autor:
Diane G. Burgess, Carine Denoux, Gregory Hather, Julia Dewdney, Mary C. Wildermuth, Terence P. Speed, Divya Chandran, Frederick M. Ausubel, Yu Chuan Tai
Publikováno v:
Plant Physiology. 149:1435-1451
Salicylic acid (SA) is a critical mediator of plant innate immunity. It plays an important role in limiting the growth and reproduction of the virulent powdery mildew (PM) Golovinomyces orontii on Arabidopsis (Arabidopsis thaliana). To investigate th
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9781461478454
In vitro drug combination studies typically involve a large number of wells with various concentrations of two drugs added together. To gain the most information from an experiment, what should the drug concentrations be? Here, we consider the case w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d2258f21be17c2a00666acda682954f
https://doi.org/10.1007/978-1-4614-7846-1_27
https://doi.org/10.1007/978-1-4614-7846-1_27
Autor:
Paola Picotti, Ruedi Aebersold, Roger Higdon, Winston A. Haynes, Natali Kolker, Lukas Reiter, Andrew T. Bauman, Elizabeth Stewart, Gerald van Belle, Alexander Schmidt, Gregory Hather, Eugene Kolker
Publikováno v:
Journal of Proteomics
Journal of proteomics
Journal of proteomics
In high-throughput mass spectrometry proteomics, peptides and proteins are not simply identified as present or not present in a sample, rather the identifications are associated with differing levels of confidence. The false discovery rate (FDR) has
Autor:
Roger Higdon, Biaoyang Lin, Dawn Field, John Wooley, Eugene Kolker, Charles V. Smith, Natali Kolker, Gregory Hather, Peter Arzberger, Gerald van Belle, Folker Meyer, B. Robert Franza, Elizabeth Stewart, Vural Ozdemir, Patrick S. G. Chain, Winston A. Haynes
Publikováno v:
PLoS ONE, Vol 5, Iss 8, p e12203 (2010)
PLoS ONE
PLoS ONE
To gauge the current commitment to scientific research in the United States of America (US), we compared federal research funding (FRF) with the US gross domestic product (GDP) and industry research spending during the past six decades. In order to a
Publikováno v:
Proteomics. 10(12)
MS-based proteomics characterizes protein contents of biological samples. The most common approach is to first match observed MS/MS peptide spectra against theoretical spectra from a protein sequence database and then to score these matches. The fals