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Computational methods for the integrative analysis of single-cell data

Recent advances in single-cell technologies are providing exciting opportunities for dissecting tissue heterogeneity and investigating cell identity, fate and function. This is a pristine, exploding field that is flooding biologists with a new wave of data, each with its own specificities in terms o...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Brief Bioinform
Главные авторы: Forcato, Mattia, Romano, Oriana, Bicciato, Silvio
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2020
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7820847/
https://ncbi.nlm.nih.gov/pubmed/32363378
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa042
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