Analysis of aggregated cell–cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells

Motivation: As ‘omics’ biotechnologies accelerate the capability to contrast a myriad of molecular measurements from a single cell, they also exacerbate current analytical limitations for detecting meaningful single-cell dysregulations. Moreover, mRNA expression alone lacks functional interpretation...

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Библиографические подробности
Опубликовано в: :Bioinformatics
Главные авторы: Schissler, A. Grant, Li, Qike, Chen, James L., Kenost, Colleen, Achour, Ikbel, Billheimer, D. Dean, Li, Haiquan, Piegorsch, Walter W., Lussier, Yves A.
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2016
Предметы:
Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4908332/
https://ncbi.nlm.nih.gov/pubmed/27307648
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw248
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