Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pavel V. Hushcha"'
Autor:
Joseph Antonelli, Brian L. Claggett, Mir Henglin, Andy Kim, Gavin Ovsak, Nicole Kim, Katherine Deng, Kevin Rao, Octavia Tyagi, Jeramie D. Watrous, Kim A. Lagerborg, Pavel V. Hushcha, Olga V. Demler, Samia Mora, Teemu J. Niiranen, Alexandre C. Pereira, Mohit Jain, Susan Cheng
Publikováno v:
Metabolites, Vol 9, Iss 7, p 143 (2019)
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease. Large-scale metabolomics data sources, generated
Externí odkaz:
https://doaj.org/article/81da88040d454ee49c2abefc439e5f6c
Autor:
Mir Henglin, Pavel V. Hushcha, Jeramie D. Watrous, Alexandre C. Pereira, Mohit Jain, Brian Claggett, Samia Mora, Gavin Ovsak, Octavia Tyagi, Nicole Kim, Kevin Rao, Susan Cheng, Andy Kim, Teemu J. Niiranen, Kim A. Lagerborg, Katherine Deng, Joseph Antonelli, Olga Demler
Publikováno v:
Metabolites, vol 9, iss 7
Metabolites, Vol 9, Iss 7, p 143 (2019)
Metabolites
Metabolites, Vol 9, Iss 7, p 143 (2019)
Metabolites
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease. Large-scale metabolomics data sources, generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f3aa62166f60a4d80e336e3566b048c
https://escholarship.org/uc/item/8992b8zn
https://escholarship.org/uc/item/8992b8zn
Autor:
Jasper Snoek, Pavel V. Hushcha, Susan Cheng, Alexander B. Wiltschko, Gillian Stein, Mir Henglin
Publikováno v:
Circulation: Cardiovascular Imaging. 10
Cardiovascular imaging technologies continue to increase in their capacity to capture and store large quantities of data. Modern computational methods, developed in the field of machine learning, offer new approaches to leveraging the growing volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dac1ff48d1c30428c090830f3007e83
https://doi.org/10.1161/circimaging.117.005614
https://doi.org/10.1161/circimaging.117.005614