Curtis RE - Search Results

1

Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

Parikh AP, Curtis RE, Kuhn I, Becker-Weimann S, Bissell M, Xing EP, Wu W. Parikh AP, et al. Among authors: curtis re. PLoS Comput Biol. 2014 Jul 24;10(7):e1003713. doi: 10.1371/journal.pcbi.1003713. eCollection 2014 Jul. PLoS Comput Biol. 2014. PMID: 25057922 Free PMC article.

2

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.

Parikh AP, Wu W, Curtis RE, Xing EP. Parikh AP, et al. Among authors: curtis re. Bioinformatics. 2011 Jul 1;27(13):i196-204. doi: 10.1093/bioinformatics/btr239. Bioinformatics. 2011. PMID: 21685070 Free PMC article.

3

Enabling dynamic network analysis through visualization in TVNViewer.

Curtis RE, Xiang J, Parikh A, Kinnaird P, Xing EP. Curtis RE, et al. BMC Bioinformatics. 2012 Aug 16;13:204. doi: 10.1186/1471-2105-13-204. BMC Bioinformatics. 2012. PMID: 22897913 Free PMC article.

4

TVNViewer: an interactive visualization tool for exploring networks that change over time or space.

Curtis RE, Yuen A, Song L, Goyal A, Xing EP. Curtis RE, et al. Bioinformatics. 2011 Jul 1;27(13):1880-1. doi: 10.1093/bioinformatics/btr273. Epub 2011 May 5. Bioinformatics. 2011. PMID: 21551142 Free PMC article.

5

Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap.

Curtis RE, Yin J, Kinnaird P, Xing EP. Curtis RE, et al. Pac Symp Biocomput. 2012:327-38. Pac Symp Biocomput. 2012. PMID: 22174288 Free article.

6

Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules.

Curtis RE, Kim S, Woolford JL Jr, Xu W, Xing EP. Curtis RE, et al. BMC Genomics. 2013 Mar 21;14:196. doi: 10.1186/1471-2164-14-196. BMC Genomics. 2013. PMID: 23514438 Free PMC article.

7

Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system.

Curtis RE, Goyal A, Xing EP. Curtis RE, et al. BMC Genet. 2012 Apr 3;13:24. doi: 10.1186/1471-2156-13-24. BMC Genet. 2012. PMID: 22471660 Free PMC article.

8

GWAS in a box: statistical and visual analytics of structured associations via GenAMap.

Xing EP, Curtis RE, Schoenherr G, Lee S, Yin J, Puniyani K, Wu W, Kinnaird P. Xing EP, et al. Among authors: curtis re. PLoS One. 2014 Jun 6;9(6):e97524. doi: 10.1371/journal.pone.0097524. eCollection 2014. PLoS One. 2014. PMID: 24905018 Free PMC article.

9

Clustering of 770,000 genomes reveals post-colonial population structure of North America.

Han E, Carbonetto P, Curtis RE, Wang Y, Granka JM, Byrnes J, Noto K, Kermany AR, Myres NM, Barber MJ, Rand KA, Song S, Roman T, Battat E, Elyashiv E, Guturu H, Hong EL, Chahine KG, Ball CA. Han E, et al. Among authors: curtis re. Nat Commun. 2017 Feb 7;8:14238. doi: 10.1038/ncomms14238. Nat Commun. 2017. PMID: 28169989 Free PMC article.

10

COVID-19 susceptibility and severity risks in a cross-sectional survey of over 500 000 US adults.

Knight SC, McCurdy SR, Rhead B, Coignet MV, Park DS, Roberts GHL, Berkowitz ND, Zhang M, Turissini D, Delgado K, Pavlovic M; AncestryDNA Science Team; Haug Baltzell AK, Guturu H, Rand KA, Girshick AR, Hong EL, Ball CA. Knight SC, et al. BMJ Open. 2022 Oct 12;12(10):e049657. doi: 10.1136/bmjopen-2021-049657. BMJ Open. 2022. PMID: 36223959 Free PMC article.

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