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Article

Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices.

Journal of computational biology : a journal of computational molecular cell biology - 1 Sept 2021

Malikić Salem, Mehrabadi Farid Rashidi, Azer Erfan Sadeqi, Ebrahimabadi Mohammad Haghir, Sahinalp Suleyman Cenk

Abstract excerpt

Single-cell sequencing (SCS) data have great potential in reconstructing the evolutionary history of tumors. Rapid advances in SCS technology in the past decade were followed by the design of various computational methods for inferring trees of tumor evolution. Some of the earliest methods were based on the direct search in the space of trees with the goal of finding the maximum likelihood tree. However, it can...

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Identifiers

PMID: 34297621
DOI: 10.1089/cmb.2020.0595
PMCID: PMC8558053

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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