Autor: Jiao Hua, Qiongyu Sheng, Shutong Xiao, Yang Zhou, Jing Qi, Shuilin Jin
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PACells identifies phenotype-associated cell states from single-cell chromatin accessibility profiles
PACells is an analysis framework for identifying cell states associated with clinical phenotype by integrating bulk and single-cell chromatin accessibility profiles. It flexibly adapts to various phenotype types. PACells reveals clinically significant …
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PACells identifies phenotype-associated cell states from single-cell chromatin accessibility profiles
PACells is an analysis framework for identifying cell states associated with clinical phenotype by integrating bulk and single-cell chromatin accessibility profiles. It flexibly adapts to various phenotype types. PACells reveals clinically significant …
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PACells identifies phenotype-associated cell states from single-cell chromatin accessibility profiles
PACells is an analysis framework for identifying cell states associated with clinical phenotype by integrating bulk and single-cell chromatin accessibility profiles. It flexibly adapts to various phenotype types. PACells reveals clinically significant …