Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sabrina Krueger"'
Autor:
Dina Hafez, Aslihan Karabacak, Sabrina Krueger, Yih-Chii Hwang, Li-San Wang, Robert P. Zinzen, Uwe Ohler
Publikováno v:
Genome Biology, Vol 18, Iss 1, Pp 1-21 (2017)
Abstract Transcriptional enhancers regulate spatio-temporal gene expression. While genomic assays can identify putative enhancers en masse, assigning target genes is a complex challenge. We devised a machine learning approach, McEnhancer, which links
Externí odkaz:
https://doaj.org/article/1c5d3f52b70a4f9ea6413e9095061cb1
Autor:
Zhe Cheng, Guoshou Teo, Sabrina Krueger, Tara M Rock, Hiromi WL Koh, Hyungwon Choi, Christine Vogel
Publikováno v:
Molecular Systems Biology, Vol 12, Iss 1, Pp 1-15 (2016)
Abstract The relative importance of regulation at the mRNA versus protein level is subject to ongoing debate. To address this question in a dynamic system, we mapped proteomic and transcriptomic changes in mammalian cells responding to stress induced
Externí odkaz:
https://doaj.org/article/87ee4bce42c64c1aadca88a1903ac0f4
Autor:
Kaelan J. Brennan, Melanie Weilert, Sabrina Krueger, Anusri Pampari, Hsiao-Yun Liu, Ally W.H. Yang, Timothy R. Hughes, Christine A. Rushlow, Anshul Kundaje, Julia Zeitlinger
SummaryChromatin accessibility is integral to the process by which transcription factors (TFs) read out cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive accessibility and those that do not. Deep learning model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc16eec0c22767ea551211dde2b59fcc
https://doi.org/10.1101/2022.12.20.520743
https://doi.org/10.1101/2022.12.20.520743
Autor:
Amr Alexandari, Avanti Shrikumar, Julia Zeitlinger, Charles McAnany, Žiga Avsec, Melanie Weilert, Anshul Kundaje, Khyati Dalal, Julien Gagneur, Sabrina Krueger, Robin Fropf
Publikováno v:
Nature genetics. 53(3)
The arrangement (syntax) of transcription factor (TF) binding motifs is an important part of the cis-regulatory code, yet remains elusive. We introduce a deep learning model, BPNet, that uses DNA sequence to predict base-resolution chromatin immunopr
Autor:
Avanti Shrikumar, Julia Zeitlinger, Charles McAnany, Khyati Dalal, Melanie Weilert, Julien Gagneur, Žiga Avsec, Anshul Kundaje, Sabrina Krueger, Robin Fropf, Amr Alexandari
SummaryThe arrangement of transcription factor (TF) binding motifs (syntax) is an important part of the cis-regulatory code, yet remains elusive. We introduce a deep learning model, BPNet, that uses DNA sequence to predict base-resolution ChIP-nexus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::827a19aec6fe26a5ce1beaada1146c7d
https://doi.org/10.1101/737981
https://doi.org/10.1101/737981
Autor:
Hyungwon Choi, Tara M. Rock, Sabrina Krueger, Hiromi W. L. Koh, Guoshou Teo, Zhe Cheng, Christine Vogel
Publikováno v:
Molecular Systems Biology. 12
The relative importance of regulation at the mRNA versus protein level is subject to ongoing debate. To address this question in a dynamic system, we mapped proteomic and transcriptomic changes in mammalian cells responding to stress induced by dithi
Autor:
Tara M. Rock, Hiromi W. L. Koh, Hyungwon Choi, Guoshou Teo, Sabrina Krueger, Zhe Cheng, Christine Vogel
The relative importance of regulation at the mRNA versus protein level is subject to ongoing debate. To address this question in a dynamic system, we mapped the proteomics and transcriptomics changes in mammalian cells responding to stress induced by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6798ec348d43dce24096c8ff47687aad
https://doi.org/10.1101/032797
https://doi.org/10.1101/032797