Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Anighoro SO"'
Autor:
Bertin, Paul, Rector-Brooks, Jarrid, Sharma, Deepak, Gaudelet, Thomas, Anighoro, Andrew, Gross, Torsten, Martinez-Pena, Francisco, Tang, Eileen L., S, Suraj M, Regep, Cristian, Hayter, Jeremy, Korablyov, Maksym, Valiante, Nicholas, van der Sloot, Almer, Tyers, Mike, Roberts, Charles, Bronstein, Michael M., Lairson, Luke L., Taylor-King, Jake P., Bengio, Yoshua
For large libraries of small molecules, exhaustive combinatorial chemical screens become infeasible to perform when considering a range of disease models, assay conditions, and dose ranges. Deep learning models have achieved state of the art results
Externí odkaz:
http://arxiv.org/abs/2202.04202
Autor:
Brianna I. Flynn, Emily M. Javan, Eugenia Lin, Zoe Trutner, Karl Koenig, Kenoma O. Anighoro, Eucharist Kun, Alaukik Gupta, Tarjinder Singh, Prakash Jayakumar, Vagheesh M. Narasimhan
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Electronic health records are often incomplete, reducing the power of genetic association studies. For some diseases, such as knee osteoarthritis where the routine course of diagnosis involves an X-ray, image-based phenotyping offers an alte
Externí odkaz:
https://doaj.org/article/647e7ff6418b41ecb8014834aa3790ff
Autor:
Anighoro, Tega
The high level of risk and uncertainty in harnessing oil and gas reserves poses an accounting dilemma in the reporting of reserves quantity information; information which is critical and relied on by investors for decision making. Different studies h
Externí odkaz:
http://arxiv.org/abs/2005.14659
Autor:
Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martínez-Peña, Eileen L. Tang, M.S. Suraj, Cristian Regep, Jeremy B.R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles E.S. Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio
Publikováno v:
Cell Reports: Methods, Vol 3, Iss 10, Pp 100599- (2023)
Summary: For large libraries of small molecules, exhaustive combinatorial chemical screens become infeasible to perform when considering a range of disease models, assay conditions, and dose ranges. Deep learning models have achieved state-of-the-art
Externí odkaz:
https://doaj.org/article/a96f2555a6f74a7f8b1b3ca4bf56d467
Autor:
Trutner, Zoe D., Cummings, Joshua M., Matthews, Cortney A., Anighoro, Kenoma, Jayakumar, Prakash, Vetter, Thomas R.
Publikováno v:
In The Journal of Arthroplasty July 2023 38(7):1238-1244
Akademický článek
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Autor:
Sara Canovas Nunes, Serena De Vita, Andrew Anighoro, François Autelitano, Edward Beaumont, Pamela Klingbeil, Meaghan McGuinness, Beatrice Duvert, Chad Harris, Lu Yang, Sheela Pangeni Pokharel, Chun-Wei Chen, Monika Ermann, David A. Williams, Haiming Xu
Publikováno v:
Blood Cancer Journal, Vol 12, Iss 4, Pp 1-14 (2022)
Abstract RAS mutations prevalent in high-risk leukemia have been linked to relapse and chemotherapy resistance. Efforts to directly target RAS proteins have been largely unsuccessful. However, since RAS-mediated transformation is dependent on signali
Externí odkaz:
https://doaj.org/article/613d30b52a4c46d2b2f1029f01e33d73
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-19 (2021)
Abstract Scoring functions for the prediction of protein-ligand binding affinity have seen renewed interest in recent years when novel machine learning and deep learning methods started to consistently outperform classical scoring functions. Here we
Externí odkaz:
https://doaj.org/article/7f4da096e1a94782b493f06d57758b6e
Autor:
James A Timmons, Andrew Anighoro, Robert J Brogan, Jack Stahl, Claes Wahlestedt, David Gordon Farquhar, Jake Taylor-King, Claude-Henry Volmar, William E Kraus, Stuart M Phillips
Publikováno v:
eLife, Vol 11 (2022)
Insulin resistance (IR) contributes to the pathophysiology of diabetes, dementia, viral infection, and cardiovascular disease. Drug repurposing (DR) may identify treatments for IR; however, barriers include uncertainty whether in vitro transcriptomic
Externí odkaz:
https://doaj.org/article/7e19e8df597247648f62daff3c3765f3
Publikováno v:
In Journal of Contaminant Hydrology February 2019 221:58-68