Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aaron Gabow"'
Publikováno v:
GigaScience
Visualizations of biomolecular networks assist in systems-level data exploration in many cellular processes. Data generated from high-throughput experiments increasingly inform these networks, yet current tools do not adequately scale with concomitan
Autor:
Keyue Shen, Michael J. Cima, Jungwoo Lee, Arjun K. Manrai, Biju Parekkadan, Martin L. Yarmush, Aaron Gabow, Joshua Yarmush, Yunxin Jiao, Jack M. Milwid, Jessica S Elman, Anne L. Fletcher, Matthew D. Li
Publikováno v:
Elsevier
The secreted proteins from a cell constitute a natural biologic library that can offer significant insight into human health and disease. Discovering new secreted proteins from cells is bounded by the limitations of traditional separation and detecti
Visualizations of biomolecular networks assist in systems-level data exploration in myriad cellular processes in health and disease. While these networks are increasingly informed by data generated from high-throughout (HT) experiments, current tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5215dca6f0c22e2815acacc13f2eba43
https://doi.org/10.1101/061374
https://doi.org/10.1101/061374
Autor:
Ronak Shah, Cyriac Kandoth, Barry S. Taylor, Jaeyoung Chun, Chris Harris, Shweta S. Chavan, David B. Solit, Nikhil Kumar, Oliver A. Hampton, Christopher A. Bolipata, Ewa Reza, Nicholas D. Socci, Aaron Gabow
Publikováno v:
Cancer Research. 78:5351-5351
Reproducibility and portability are persistent problems in the analysis of genomic sequence data. Bioinformatics pipelines usually run only in the controlled computing environment in which they were built. But even when built for portability, it is i
Publikováno v:
Nucleic Acids Research
MicroRNA.org (http://www.microrna.org) is a comprehensive resource of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on targe
Autor:
Binsheng Zhao, Camelia S. Sima, Kai Hsiung Lin, Dyana K. Sumner, Michelle S. Ginsberg, Lauren J. Rogak, M. Catherine Pietanza, Alison Berkowitz-Hergianto, Marwan Shouery, Samantha Lindsay Kass, Mark G. Kris, Ethan Basch, Aaron Gabow, Mary Shaw, Lawrence H. Schwartz, Alex E. Lash, Manda Wilson, Marcia Latif, Leslie B. Tyson, Qinfei Wu, Claire Miller
Publikováno v:
Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 31(16)
Purpose In clinical trials, traditional monitoring methods, paper documentation, and outdated collection systems lead to inaccuracies of study information and inefficiencies in the process. Integrated electronic systems offer an opportunity to collec
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
Integrating diverse sources of interaction information to create protein networks requires strategies sensitive to differences in accuracy and coverage of each source. Previous integration approaches calculate reliabilities of protein interaction inf
Autor:
Aaron Gabow, Samantha Lindsay Kass, Ethan Basch, Quinfei Wu, Manda Wilson, Camelia S. Sima, Marwan Shouery, Marcia Latif, Claire Miller, Leslie B. Tyson, Lawrence H. Schwartz, Michelle S. Ginsberg, Mark G. Kris, Dyana K. Sumner, Lauren J. Rogak, Maria Catherine Pietanza, Alex E. Lash, Mary Shaw, Binsheng Zhao, Alison Berkowitz
Publikováno v:
Journal of Clinical Oncology. 30:e19647-e19647
e19647 Background: In clinical trials, delayed and disorganized data reporting due to traditional toxicity symptom monitoring methods, paper documentation and out-dated collection systems lead to inaccuracies of critical study information and ineffic