Back to search

Article

Inferring Tumor Progression in Large Datasets

2020-06-19

Abstract excerpt

Identification of mutations of the genes that give cancer a selective advantage is an important step towards research and clinical objectives. As such, there has been a growing interest in developing methods for identification of driver genes and their temporal order within a single patient (intra-tumor) as well as across a cohort of patients (inter-tumor). In this paper, we develop a probabilistic model for tumor...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
247bcd5a-522e-569d-b581-8d7328538e26
DOI
10.1101/2020.06.18.159228
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Inferring Tumor Progression in Large DatasetsDOI 10.1101/2020.06.18.159228
Select a neighboring publication to make it the new centre.