Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Bahrad A. Sokhansanj"'
Publikováno v:
PeerJ, Vol 11, p e14779 (2023)
A major challenge for clustering algorithms is to balance the trade-off between homogeneity, i.e., the degree to which an individual cluster includes only related sequences, and completeness, the degree to which related sequences are broken up into m
Externí odkaz:
https://doaj.org/article/964e4597d0f8411aaef97cf7919a6a94
Autor:
Bahrad A. Sokhansanj, Gail L. Rosen
Publikováno v:
mSystems, Vol 7, Iss 2 (2022)
ABSTRACT Next-generation sequencing has been essential to the global response to the COVID-19 pandemic. As of January 2022, nearly 7 million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequences are available to researchers in public
Externí odkaz:
https://doaj.org/article/37a7006f4c144570b15e071c7459cf7a
Publikováno v:
Biology, Vol 11, Iss 12, p 1786 (2022)
Through the COVID-19 pandemic, SARS-CoV-2 has gained and lost multiple mutations in novel or unexpected combinations. Predicting how complex mutations affect COVID-19 disease severity is critical in planning public health responses as the virus conti
Externí odkaz:
https://doaj.org/article/5b2bca3479304780841f8e0f86b5efd1
Autor:
Bahrad A. Sokhansanj, Gail L. Rosen
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3656 (2022)
A key challenge for artificial intelligence in the legal field is to determine from the text of a party’s litigation brief whether, and why, it will succeed or fail. This paper shows a proof-of-concept test case from the United States: predicting o
Externí odkaz:
https://doaj.org/article/f1ca1a404be247aab52b983e16e1c9e9
Publikováno v:
Biology, Vol 9, Iss 11, p 365 (2020)
Machine learning algorithms can learn mechanisms of antimicrobial resistance from the data of DNA sequence without any a priori information. Interpreting a trained machine learning algorithm can be exploited for validating the model and obtaining new
Externí odkaz:
https://doaj.org/article/6706ff1a47904f7291135c6005a61d06
Autor:
Bahrad A. Sokhansanj
Publikováno v:
Columbia Journal of Race and Law, Vol 2, Iss 2 (2012)
At the very end of the last century, scientists produced the first draft of the whole human genetic sequence. But that was just the first step; the hard work of the first few decades of this century will be to learn more about how to apply genetic in
Externí odkaz:
https://doaj.org/article/d92479094cc84790a5feaf47a18b4354
Throughout the COVID-19 pandemic, the virus has mutated in ways that affect its ability to infect people, cause severe disease, and escape immunity. It can be costly and time-consuming to experimentally study viral mutations. Sequencing genetic code
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cde3de78494b811fe884c769e1e19f9
https://doi.org/10.21203/rs.3.rs-1234007/v1
https://doi.org/10.21203/rs.3.rs-1234007/v1
As the COVID-19 pandemic continues, the SARS-CoV-2 virus continues to rapidly mutate and change in ways that impact virulence, transmissibility, and immune evasion. Genome sequencing is a critical tool, as other biological techniques can be more cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0fec36f304ff23ee18d54a5d95fae71
https://doi.org/10.1101/2021.12.26.21268414
https://doi.org/10.1101/2021.12.26.21268414
Autor:
Bahrad A. Sokhansanj, Gail L. Rosen
Publikováno v:
Computers in Biology and Medicine. 149:105969
Epidemiological studies show that COVID-19 variants-of-concern, like Delta and Omicron, pose different risks for severe disease, but they typically lack sequence-level information for the virus. Studies which do obtain viral genome sequences are gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3301bef276bb2d3578e79a197b7de8
https://doi.org/10.1016/j.compbiomed.2022.105969
https://doi.org/10.1016/j.compbiomed.2022.105969
Autor:
Bahrad A. Sokhansanj, Gail L. Rosen, Stephen Woloszynek, Zhengqiao Zhao, Felix Agbavor, Joshua Chang Mell
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009345 (2021)
PLoS Computational Biology
PLoS Computational Biology
Recurrent neural networks with memory and attention mechanisms are widely used in natural language processing because they can capture short and long term sequential information for diverse tasks. We propose an integrated deep learning model for micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1ecf844a411c96345c7d784a8aafef
https://doaj.org/article/f942b69fd3b3444fabf60265b9f20db6
https://doaj.org/article/f942b69fd3b3444fabf60265b9f20db6