Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Phillip B. Nicol"'
Autor:
Phillip B. Nicol, Danielle Paulson, Gege Qian, X. Shirley Liu, Rafael Irizarry, Avinash D. Sahu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Single-cell transcriptomics has emerged as a powerful tool for understanding how different cells contribute to disease progression by identifying cell types that change across diseases or conditions. However, detecting changing cell types is
Externí odkaz:
https://doaj.org/article/4f488a03a7a34c2f888328d58652862e
Publikováno v:
Computational and Systems Oncology, Vol 2, Iss 2, Pp n/a-n/a (2022)
Abstract Cancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution may be a useful starting point for understanding the patterns of heterogeneity that can emerge
Externí odkaz:
https://doaj.org/article/6c04e63d72024b098135dfd6c720358f
Autor:
Phillip B. Nicol, Kevin R. Coombes, Courtney Deaver, Oksana Chkrebtii, Subhadeep Paul, Amanda E. Toland, Amir Asiaee
Publikováno v:
Computational and Systems Oncology, Vol 1, Iss 2, Pp n/a-n/a (2021)
Abstract Motivation: Cancer is the process of accumulating genetic alterations that confer selective advantages to tumor cells. The order in which aberrations occur is not arbitrary, and inferring the order of events is challenging due to the lack of
Externí odkaz:
https://doaj.org/article/d17ed45d441d4d6083e19ea0d651957c
Autor:
Phillip B. Nicol, Danielle Paulson, Gege Qian, X. Shirley Liu, Rafael Irizarry, Avinash D. Sahu
Single-cell transcriptomics has emerged as a powerful tool for understanding how different cells contribute to disease progression by identifying cell types that change across diseases or conditions. However, detecting changing cell types is challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c07a3c2fecf92e30896c607e8fa796
https://doi.org/10.1101/2023.05.06.539326
https://doi.org/10.1101/2023.05.06.539326
Autor:
Phillip B. Nicol, Jeffrey W. Miller
Dimensionality reduction is a critical step in the analysis of single-cell RNA-seq data. The standard approach is to apply a transformation to the count matrix, followed by principal components analysis. However, this approach can spuriously indicate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd6849978acfa2d9e5d0007f5174c09d
https://doi.org/10.1101/2023.04.21.537881
https://doi.org/10.1101/2023.04.21.537881
Publikováno v:
Comput Syst Oncol
MotivationCancer progression, including the development of intratumor heterogeneity, is inherently a spatial process. Mathematical models of tumor evolution can provide insights into patterns of heterogeneity that can emerge in the presence of spatia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8fddfa033035050a0ec32e4fe8f8b41
https://doi.org/10.1002/cso2.1033
https://doi.org/10.1002/cso2.1033
Autor:
Laura van Zelst, Sanne van Zanten, Shengqing Gu, Joost Rens, Phillip B. Nicol, Nishanth Ulhas Nair, Collin Tokheim, Chenfei Wang, Avinash Das Sahu, Xiaoqing Wang, Xiaoman Wang, Dejan Juric, Mark Musters, Wubing Zhang, Myles Brown, Keith T. Flaherty, Gege Qian, Cliff Meyer, David E. Fisher, Zexian Zeng, Jenny Worthington, Inge Leenders, Jan Klomp, Arthur Oubrie, Bas Jansen, Jin Wang, Phillip Munson, Jun Liu, Jaap Lemmers, Meriem Bourajjaj, Jingxin Fu, X. Shirley Liu
Drugs that kill tumors through multiple mechanisms have potential for broad clinical benefits, with a reduced propensity to resistance. We developed BipotentR, a computational approach to find cancer-cell-specific regulators that simultaneously modul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6343ed7cd5856d6a9df6a2a16296e1ef
https://doi.org/10.1101/2021.10.25.465724
https://doi.org/10.1101/2021.10.25.465724
Autor:
Courtney Deaver, Phillip B. Nicol, Amir Asiaee, Subhadeep Paul, Amanda E. Toland, Oksana Chkrebtii, Kevin R. Coombes
Publikováno v:
Computational and Systems Oncology, Vol 1, Iss 2, Pp n/a-n/a (2021)
MotivationCancer is the process of accumulating genetic alterations that confer selective advantages to tumor cells. The order in which aberrations occur is not arbitrary, and inferring the order of events is challenging due to the lack of longitudin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2a711270f01c3ef3559aca9269d80f
https://doi.org/10.1002/cso2.1027
https://doi.org/10.1002/cso2.1027
Autor:
Phillip B. Nicol
Publikováno v:
Mathematical and Computational Oncology ISBN: 9783030645106
ISMCO
ISMCO
Recently developed technologies allow us to view the transcriptome at high resolution while preserving the spatial location of samples. These advances are particularly relevant to cancer research, since clonal theory predicts that nearby cells are li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1580275f5cecff84459931b25fa597aa
https://doi.org/10.1007/978-3-030-64511-3_10
https://doi.org/10.1007/978-3-030-64511-3_10