Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Alexander J. Titus"'
Autor:
Joshua J. Levy, Youdinghuan Chen, Nasim Azizgolshani, Curtis L. Petersen, Alexander J. Titus, Erika L. Moen, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen
Publikováno v:
npj Systems Biology and Applications, Vol 7, Iss 1, Pp 1-16 (2021)
Abstract DNA methylation (DNAm) alterations have been heavily implicated in carcinogenesis and the pathophysiology of diseases through upstream regulation of gene expression. DNAm deep-learning approaches are able to capture features associated with
Externí odkaz:
https://doaj.org/article/4f32c8343c1846d98fa3b43cf8e3aca6
Autor:
Benjamin D Lee, Anthony Gitter, Casey S Greene, Sebastian Raschka, Finlay Maguire, Alexander J Titus, Michael D Kessler, Alexandra J Lee, Marc G Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J Fertig, Alexandr A Kalinin, Brandon Signal, Benjamin J Lengerich, Timothy J Triche, Simina M Boca
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3, p e1009803 (2022)
Externí odkaz:
https://doaj.org/article/c0cf492068b7496c8a19201d07339e91
Autor:
Meghan E. Muse, Alexander J. Titus, Lucas A. Salas, Owen M. Wilkins, Chelsey Mullen, Kelly J. Gregory, Sallie S. Schneider, Giovanna M. Crisi, Rahul M. Jawale, Christopher N. Otis, Brock C. Christensen, Kathleen F. Arcaro
Publikováno v:
Epigenetics, Vol 15, Iss 10, Pp 1093-1106 (2020)
While changes in DNA methylation are known to occur early in breast carcinogenesis and the landscape of breast tumour DNA methylation is profoundly altered compared with normal tissue, there have been limited efforts to identify DNA methylation field
Externí odkaz:
https://doaj.org/article/5fc8cebb5e8148a5be81a8cd8817a01d
Autor:
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background DNA methylation (DNAm) is an epigenetic regulator of gene expression programs that can be altered by environmental exposures, aging, and in pathogenesis. Traditional analyses that associate DNAm alterations with phenotypes suffer
Externí odkaz:
https://doaj.org/article/195cdcbbbcdb4e45aa972fd6392166f9
Autor:
David C. Qian, David L. Molfese, Jennifer L. Jin, Alexander J. Titus, Yixuan He, Yafang Li, Maxime Vaissié, Humsini Viswanath, Philip R. Baldwin, Ralf Krahe, Ramiro Salas, Christopher I. Amos
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Nearly 6 million deaths and over a half trillion dollars in healthcare costs worldwide are attributed to tobacco smoking each year. Extensive research efforts have been pursued to elucidate the molecular underpinnings of smoking a
Externí odkaz:
https://doaj.org/article/bbda8a22707a4fad9f35e2a12d1f3837
Publikováno v:
Cyberbiosecurity ISBN: 9783031260339
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97df214dc7dd6c465c473bc395c473c
https://doi.org/10.1007/978-3-031-26034-6_3
https://doi.org/10.1007/978-3-031-26034-6_3
Autor:
Alexander J Titus, Audrey Flower, Patrick Hagerty, Paul Gamble, Charlie Lewis, Todd Stavish, Kevin P O'Connell, Greg Shipley, Stephanie M Rogers
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 9, p e1006454 (2018)
Genomic data are becoming increasingly valuable as we develop methods to utilize the information at scale and gain a greater understanding of how genetic information relates to biological function. Advances in synthetic biology and the decreased cost
Externí odkaz:
https://doaj.org/article/b4ebc3cf1f584deab88ecdcaefa7565e
Autor:
Matthew P. Abdel, Barbara H. Currier, Douglas W. Van Citters, Alexander J Titus, John H. Currier, Daniel J. Berry
Publikováno v:
The Bone & Joint Journal. :1695-1701
Aims Wear of the polyethylene (PE) tibial insert of total knee arthroplasty (TKA) increases the risk of revision surgery with a significant cost burden on the healthcare system. This study quantifies wear performance of tibial inserts in a large and
While deep learning has revolutionized ecological data analysis, existing strategies often rely on supervised learning, which is subject to limitations on real-world applicability. In this paper, we apply self-supervised deep learning methods to bioa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9655e2bcb66a44cb54695d62d93c244d
https://doi.org/10.1101/2022.10.12.511740
https://doi.org/10.1101/2022.10.12.511740
Autor:
Kathleen F. Arcaro, Chelsey Mullen, Giovanna M. Crisi, Sallie S. Schneider, Owen M. Wilkins, Alexander J. Titus, Kelly J. Gregory, Brock C. Christensen, Rahul M. Jawale, Meghan E. Muse, Lucas A. Salas, Christopher N. Otis
Publikováno v:
Epigenetics
article-version (VoR) Version of Record
article-version (VoR) Version of Record
While changes in DNA methylation are known to occur early in breast carcinogenesis and the landscape of breast tumour DNA methylation is profoundly altered compared with normal tissue, there have been limited efforts to identify DNA methylation field