Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Adam Klie"'
Autor:
Juan Carlos Jado, Michelle Dow, Krypton Carolino, Adam Klie, Gregory J. Fonseca, Trey Ideker, Hannah Carter, Elizabeth A. Winzeler
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In vitro evolution and whole genome analysis has proven to be a powerful method for studying the mechanism of action of small molecules in many haploid microbes but has generally not been applied to human cell lines in part because their dip
Externí odkaz:
https://doaj.org/article/393b41621ea749ec915b0726a2c71095
Autor:
Adam Klie
This upload represents the raw, processed and analyzed data associated with the preprint, "EUGENe: A Python toolkit for predictive analyses of regulatory sequences."We have deposited the raw input h5sd objects, along with processed versions, trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fe796f6294bed128d1eaaefc7e77c4a
Deep learning (DL) has become a popular tool to study cis-regulatory element function. Yet efforts to design software for DL analyses in genomics that are Findable, Accessible, Interoperable and Reusable (FAIR) have fallen short of fully meeting thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::360a670347fd1086dd1761bb970f9166
https://doi.org/10.1101/2022.10.24.513593
https://doi.org/10.1101/2022.10.24.513593
Autor:
Granton A Jindal, Alexis T Bantle, Joe J Solvason, Jessica L Grudzien, Agnieszka D’Antonio-Chronowska, Fabian Lim, Sophia H Le, Reid O Larsen, Adam Klie, Kelly A Frazer, Emma K Farley
SummaryEnhancers direct precise gene expression patterns during development and harbor the majority of variants associated with disease. We find that suboptimal affinity ETS transcription factor binding sites are prevalent within Ciona and human deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c28fdfda915bfaeb65ad5eb7faf659e1
https://doi.org/10.1101/2022.05.27.493636
https://doi.org/10.1101/2022.05.27.493636
Publikováno v:
Cancer Research. 82:1942-1942
Neural networks are powerful tools for modeling genetic contributions to cancer risk that can theoretically capture nonlinear, epistatic interactions between disease-associated loci in heritable cancers. Recent studies applying neural networks and ot
BACKGROUND Fungal ocular involvement can develop in patients with fungal bloodstream infections and can be vision-threatening. Ocular involvement has become less common in the current era of improved antifungal therapies. Retrospectively determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::016a93b672119f288a690b3643cdbd44
https://doi.org/10.2196/preprints.18855
https://doi.org/10.2196/preprints.18855