Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Rick L Stevens"'
Autor:
Vivien G Dugan, Scott J Emrich, Gloria I Giraldo-Calderón, Omar S Harb, Ruchi M Newman, Brett E Pickett, Lynn M Schriml, Timothy B Stockwell, Christian J Stoeckert, Dan E Sullivan, Indresh Singh, Doyle V Ward, Alison Yao, Jie Zheng, Tanya Barrett, Bruce Birren, Lauren Brinkac, Vincent M Bruno, Elizabet Caler, Sinéad Chapman, Frank H Collins, Christina A Cuomo, Valentina Di Francesco, Scott Durkin, Mark Eppinger, Michael Feldgarden, Claire Fraser, W Florian Fricke, Maria Giovanni, Matthew R Henn, Erin Hine, Julie Dunning Hotopp, Ilene Karsch-Mizrachi, Jessica C Kissinger, Eun Mi Lee, Punam Mathur, Emmanuel F Mongodin, Cheryl I Murphy, Garry Myers, Daniel E Neafsey, Karen E Nelson, William C Nierman, Julia Puzak, David Rasko, David S Roos, Lisa Sadzewicz, Joana C Silva, Bruno Sobral, R Burke Squires, Rick L Stevens, Luke Tallon, Herve Tettelin, David Wentworth, Owen White, Rebecca Will, Jennifer Wortman, Yun Zhang, Richard H Scheuermann
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e99979 (2014)
High throughput sequencing has accelerated the determination of genome sequences for thousands of human infectious disease pathogens and dozens of their vectors. The scale and scope of these data are enabling genotype-phenotype association studies to
Externí odkaz:
https://doaj.org/article/7ea0c224c6f4484e9585bedb61a17966
Autor:
Ramy K Aziz, Scott Devoid, Terrence Disz, Robert A Edwards, Christopher S Henry, Gary J Olsen, Robert Olson, Ross Overbeek, Bruce Parrello, Gordon D Pusch, Rick L Stevens, Veronika Vonstein, Fangfang Xia
Publikováno v:
PLoS ONE, Vol 7, Iss 10, p e48053 (2012)
The remarkable advance in sequencing technology and the rising interest in medical and environmental microbiology, biotechnology, and synthetic biology resulted in a deluge of published microbial genomes. Yet, genome annotation, comparison, and model
Externí odkaz:
https://doaj.org/article/5f62a117c55546dab4d00f676c98ad3a
Autor:
Alexander Partin, Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson, Maulik Shukla, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies. A primary challenge in modeling drug response prediction (DRP) with PDXs and neural networks (NNs) is the limited number of drug response samples. We investigat
Externí odkaz:
https://doaj.org/article/e0d0f63467c2490f8c2c2db626e08d8c
Autor:
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Cancer claims millions of lives yearly worldwide. While many therapies have been made available in recent years, by in large cancer remains unsolved. Exploiting computational predictive models to study and treat cancer holds great promise in improvin
Externí odkaz:
https://doaj.org/article/62da77f2eb4342cfbd97aaecb99fd63d
Autor:
Alexander Partin, Thomas Brettin, Yvonne A. Evrard, Yitan Zhu, Hyunseung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Abstract Background Motivated by the size and availability of cell line drug sensitivity data, researchers have been developing machine learning (ML) models for predicting drug response to advance cancer treatment. As drug sensitivity studies continu
Externí odkaz:
https://doaj.org/article/873f9cf3b7d54242949d665daefd7144
Autor:
Julie A. Lovchik, Douglas S. Reed, Julie A. Hutt, Fangfang Xia, Rick L. Stevens, Thero Modise, Eileen M. Barry, Terry H. Wu
Publikováno v:
Pathogens, Vol 10, Iss 6, p 638 (2021)
Pneumonic tularemia is a highly debilitating and potentially fatal disease caused by inhalation of Francisella tularensis. Most of our current understanding of its pathogenesis is based on the highly virulent F. tularensis subsp. tularensis strain SC
Externí odkaz:
https://doaj.org/article/45039f8834454e4e9edf589360e43c07
Autor:
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Maulik Shukla, Fangfang Xia, Hyunseung Yoo, James M Dolezal, Sara Kochanny, Alexander T. Pearson, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Journal of Clinical Oncology. 40:e13572-e13572
e13572 Background: Prediction of drug response is a critical research area in precision oncology and has been previously explored with large drug screening studies of cancer cell lines (CCLs). Patient-derived xenografts (PDXs) are an appealing platfo
Autor:
Yitan Zhu, Thomas S. Brettin, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyunseung Yoo, Andrea Cancino, Brian Larsen, Jenna Shaxted, Ameen Salahudeen, Kevin White, Rick L. Stevens
Publikováno v:
Journal of Clinical Oncology. 40:e13544-e13544
e13544 Background: Prediction of drug response based on cancer molecular profiles is of paramount importance for precision oncology. Most existing drug response prediction models are built using drug screening data of immortalized cancer cell lines,
Autor:
Rick L Stevens
Publikováno v:
Journal of Healthcare Management. 63:173-174
Publikováno v:
Journal of Parallel and Distributed Computing. 45:166-175
Molecular dynamics simulation is a class of applications that require reducing the execution time of fixed-size problems. This reduction in execution time is important to drug design and protein interaction studies. Many implementations of parallel m