Inferring cancer progression from Single-Cell Sequencing while allowing mutation losses.

ABSTRACT:

Motivation

In recent years, the well-known Infinite Sites Assumption has been a fundamental feature of computational methods devised for reconstructing tumor phylogenies and inferring cancer progressions. However, recent studies leveraging single-cell sequencing (SCS) techniques have shown evidence of the widespread recurrence and, especially, loss of mutations in several tumor samples. While there exist established computational methods that infer phylogenies with mutation losses, there remain some advancements to be made.

Results

We present Simulated Annealing Single-Cell inference (SASC): a new and robust approach based on simulated annealing for the inference of cancer progression from SCS datasets. In particular, we introduce an extension of the model of evolution where

SUBMITTER: Ciccolella S 

PROVIDER: S-EPMC8058767 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature