Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Satyarth Mishra Sharma"'
Autor:
Dmitry Kolobkov, Satyarth Mishra Sharma, Aleksandr Medvedev, Mikhail Lebedev, Egor Kosaretskiy, Ruslan Vakhitov
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Combining training data from multiple sources increases sample size and reduces confounding, leading to more accurate and less biased machine learning models. In healthcare, however, direct pooling of data is often not allowed by data custodians who
Externí odkaz:
https://doaj.org/article/b14112679d3940778ebf1cba9bbd7bc0
Autor:
Aleksandr Medvedev, Satyarth Mishra Sharma, Evgenii Tsatsorin, Elena Nabieva, Dmitry Yarotsky
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0273293 (2022)
Genotype-to-phenotype prediction is a central problem of human genetics. In recent years, it has become possible to construct complex predictive models for phenotypes, thanks to the availability of large genome data sets as well as efficient and scal
Externí odkaz:
https://doaj.org/article/41bbd484b5494ca9856d20cbeb34d448
Autor:
Dmitry Kolobkov, Satyarth Mishra Sharma, Aleksandr Medvedev, Mikhail Lebedev, Egor Kosaretskiy, Ruslan Vakhitov
Combining training data from multiple sources increases sample size and reduces confounding, leading to more accurate and less biased machine learning models. In healthcare, however, direct pooling of data is often not allowed by data custodians who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ac4aa0922c0b4bc93770733cb49894
https://doi.org/10.1101/2023.01.24.23284898
https://doi.org/10.1101/2023.01.24.23284898
Prediction of proteins stability change (ΔΔG) due to single mutation is important for biotechnology, medicine, and our understanding of physics underlying protein folding. Despite the recent tremendous success in 3D protein structure prediction, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::828254591d311f9b059e223d71912fc1
https://doi.org/10.1101/2022.12.31.522396
https://doi.org/10.1101/2022.12.31.522396
Autor:
Satyarth Mishra Sharma, Georgii A. Bazykin, Tatyana V. Neretina, Eugene Glazyrina, Viktoria N Moskalenko, Maria D. Logacheva, Sofya K. Garushyants, Anna Fedotova, Yermek Kapushev, Denis V Pyankov, Tatyana E Serebrenikova, Ilya V. Kanivets, Dmitry Yarotsky, Elena Nabieva
Publikováno v:
Eur J Hum Genet
High-throughput sequencing of fetal DNA is a promising and increasingly common method for the discovery of all (or all coding) genetic variants in the fetus, either as part of prenatal screening or diagnosis, or for genetic diagnosis of spontaneous a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad12bb1228b916d7879533f99b293be
https://pubmed.ncbi.nlm.nih.gov/32728107
https://pubmed.ncbi.nlm.nih.gov/32728107
Autor:
Dmitry Yarotsky, Maria D. Logacheva, Ilya V. Kanivets, Sofya K Garushyans, Viktoria N Moskalenko, Tatyana E Serebrenikova, Denis V Pyankov, Yermek Kapushev, Elena Nabieva, Georgii A. Bazykin, Tatyana V. Neretina, Eugene Glazyrina, Satyarth Mishra Sharma, Anna Fedotova
High-throughput sequencing of fetal DNA is a promising and increasingly common method for the discovery of all (or all coding) genetic variants in the fetus, either as part of prenatal screening or diagnosis, or for genetic diagnosis of spontaneous a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e5457ca2641c8221f5d4c696db00b84
https://doi.org/10.1101/552414
https://doi.org/10.1101/552414