Statistical mechanics meets single-cell biology

被引：0
|
作者：
Andrew E. Teschendorff
Andrew P. Feinberg
机构：
[1] University of Chinese Academy of Sciences,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences
[2] Chinese Academy of Sciences,UCL Cancer Institute
[3] University College London,Center for Epigenetics
[4] Johns Hopkins University School of Medicine,Department of Biomedical Engineering
[5] Johns Hopkins University,Department of Medicine
[6] Johns Hopkins University School of Medicine,undefined
来源：
Nature Reviews Genetics | 2021年 / 22卷
关键词：
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学科分类号：
摘要：
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from statistical mechanics, notably entropy, stochastic processes and critical phenomena, are having on single-cell data analysis. We further advocate the need for more bottom-up modelling of single-cell data and to embrace a statistical mechanics analysis paradigm to help attain a deeper understanding of single-cell systems biology.
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页码：459 / 476
页数：17
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