Zobrazeno 1 - 10
of 1 373
pro vyhledávání: '"R. Coombes"'
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
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-12 (2021)
Abstract Background In the intensive care unit (ICU), delirium is a common, acute, confusional state associated with high risk for short- and long-term morbidity and mortality. Machine learning (ML) has promise to address research priorities and impr
Externí odkaz:
https://doaj.org/article/b4b6e440be784bf698d7d3a0b058cb2d
Autor:
Zachary B. Abrams, Dwayne G. Tally, Lin Zhang, Caitlin E. Coombes, Philip R. O. Payne, Lynne V. Abruzzo, Kevin R. Coombes
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-12 (2021)
Abstract Background There have been many recent breakthroughs in processing and analyzing large-scale data sets in biomedical informatics. For example, the CytoGPS algorithm has enabled the use of text-based karyotypes by transforming them into a bin
Externí odkaz:
https://doaj.org/article/d9811833991949568bb8605017eff7af
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
Publikováno v:
Journal of Statistical Software, Vol 90, Iss 1, Pp 1-23 (2019)
Although R includes numerous tools for creating color palettes to display continuous data, facilities for displaying categorical data primarily use the RColorBrewer package, which is, by default, limited to 12 colors. The colorspace package can produ
Externí odkaz:
https://doaj.org/article/48d2abb66f034645b227f67826064b4e
Autor:
Peter P. Ruvolo, Chenyue W. Hu, Yihua Qiu, Vivian R. Ruvolo, Robin L. Go, Stefan E. Hubner, Kevin R. Coombes, Michael Andreeff, Amina A. Qutub, Steven M. Kornblau
Publikováno v:
EBioMedicine, Vol 44, Iss , Pp 126-137 (2019)
Background: Galectin 3 (LGALS3) gene expression is associated with poor survival in acute myeloid leukemia (AML) but the prognostic impact of LGALS3 protein expression in AML is unknown. LGALS3 supports diverse survival pathways including RAS mediate
Externí odkaz:
https://doaj.org/article/628bbcf96933419bb3430b27e06e5673
Autor:
Keiko Akagi, David E. Symer, Medhat Mahmoud, Bo Jiang, Sara Goodwin, Darawalee Wangsa, Zhengke Li, Weihong Xiao, Joe Dan Dunn, Thomas Ried, Kevin R. Coombes, Fritz J. Sedlazeck, Maura L. Gillison
Publikováno v:
Cancer Discovery. 13:910-927
The human papillomavirus (HPV) genome is integrated into host DNA in most HPV-positive cancers, but the consequences for chromosomal integrity are unknown. Continuous long-read sequencing of oropharyngeal cancers and cancer cell lines identified a pr
Autor:
Zachary B. Abrams, Mark Zucker, Min Wang, Amir Asiaee Taheri, Lynne V. Abruzzo, Kevin R. Coombes
Publikováno v:
BMC Genomics, Vol 19, Iss 1, Pp 1-14 (2018)
Abstract Background Transcription factors are essential regulators of gene expression and play critical roles in development, differentiation, and in many cancers. To carry out their regulatory programs, they must cooperate in networks and bind simul
Externí odkaz:
https://doaj.org/article/7c0c7be301a246cc87a910fe3a734801
Autor:
Jalal K. Siddiqui, Elizabeth Baskin, Mingrui Liu, Carmen Z. Cantemir-Stone, Bofei Zhang, Russell Bonneville, Joseph P. McElroy, Kevin R. Coombes, Ewy A. Mathé
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Integration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these
Externí odkaz:
https://doaj.org/article/5c84e29ac23347538e05da558ccf4972
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract Background Cluster analysis is the most common unsupervised method for finding hidden groups in data. Clustering presents two main challenges: (1) finding the optimal number of clusters, and (2) removing “outliers” among the objects bein
Externí odkaz:
https://doaj.org/article/8085481e61ea494b94f15862aa25669c