Statistical mechanics meets single-cell biology

Andrew E. Teschendorff, Andrew P. Feinberg

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)459-476
Number of pages18
JournalNature Reviews Genetics
Volume22
Issue number7
DOIs
StatePublished - Jul 2021

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

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