Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kyle Akers"'
Autor:
Xiao Liang, Kyle Akers, Ishi Keenum, Lauren Wind, Suraj Gupta, Chaoqi Chen, Reem Aldaihani, Amy Pruden, Liqing Zhang, Katharine F. Knowlton, Kang Xia, Lenwood S. Heath
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
Abstract Background Metagenomics is gaining attention as a powerful tool for identifying how agricultural management practices influence human and animal health, especially in terms of potential to contribute to the spread of antibiotic resistance. H
Externí odkaz:
https://doaj.org/article/b329ab4cf26a4b66818574e526ee6a93
Autor:
T. M. Murali, Kyle Akers
Publikováno v:
Current Opinion in Systems Biology. 26:87-97
Gene regulatory networks record relationships between transcription factors and the genes whose expression they control. Recent computational methods have been developed to predict these regulatory interactions based on gene expression data generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e7dee0e6072c6b81af6385e965014f
https://doi.org/10.1016/j.coisb.2021.04.007
https://doi.org/10.1016/j.coisb.2021.04.007
Autor:
Amy Pruden, Ishi Keenum, Kyle Akers, Lenwood S. Heath, Kang Xia, Lauren Wind, Liqing Zhang, Suraj Gupta, Chaoqi Chen, Xiao Liang, Katharine F. Knowlton, Reem Aldaihani
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-14 (2021)
Background Metagenomics is gaining attention as a powerful tool for identifying how agricultural management practices influence human and animal health, especially in terms of potential to contribute to the spread of antibiotic resistance. However, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728ca88c4017921427f1ea88b9a73319
http://europepmc.org/articles/PMC7944603
http://europepmc.org/articles/PMC7944603
Autor:
Jeffrey N Law, Kyle Akers, Nure Tasnina, Catherine M Della Santina, Shay Deutsch, Meghana Kshirsagar, Judith Klein-Seetharaman, Mark Crovella, Padmavathy Rajagopalan, Simon Kasif, T M Murali
Publikováno v:
GigaScience
Background Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has been paid to the question of provenance tracing in this context, e.g., det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1806f5bc8e037efc22cfe03f203e66e0
