Leveraging gene correlations in single cell transcriptomic data

Autor: Kai Silkwood, Emmanuel Dollinger, Joshua Gervin, Scott Atwood, Qing Nie, Arthur D. Lander

Publikováno v: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-43 (2024)

Abstract Background Many approaches have been developed to overcome technical noise in single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for rare cell types, subtleties of cell states, and details of gene regulatory

Externí odkaz: https://doaj.org/article/1c805c6f0a6e47c8a01756342320121c

Survival of the Curviest: Noise-Driven Selection for Synergistic Epistasis

Autor: Joshua Gervin, Peter McHale, Jon F. Wilkins, Arthur D. Lander

Publikováno v: PLoS genetics, vol 12, iss 4
PLoS Genetics
Wilkins, JF; McHale, PT; Gervin, J; & Lander, AD. (2016). Survival of the Curviest: Noise-Driven Selection for Synergistic Epistasis. PLOS GENETICS, 12(4), e1006003. doi: 10.1371/journal.pgen.1006003. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/90d512kr
PLoS Genetics, Vol 12, Iss 4, p e1006003 (2016)

A major goal of human genetics is to elucidate the genetic architecture of human disease, with the goal of fueling improvements in diagnosis and the understanding of disease pathogenesis. The degree to which epistasis, or non-additive effects of risk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b1bd14717d5f37105d55c3d1352872
https://escholarship.org/uc/item/90d512kr

Discovering regulatory motifs in the Plasmodium genome using comparative genomics

Autor: Xiaohui Xie, Douglas H. Sieglaff, Joshua Gervin, Jie Wu

Publikováno v: Bioinformatics (Oxford, England). 24(17)

Motivation: Understanding gene regulation in Plasmodium, the causative agent of malaria, is an important step in deciphering its complex life cycle as well as leading to possible new targets for therapeutic applications. Very little is known about ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3edf59b9ef2c1f524d4d6c1b48b05553
https://pubmed.ncbi.nlm.nih.gov/18611947