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Modelling cancer progression using Mutual Hazard Networks

Schill, Rudolf, Solbrig, Stefan, Wettig, Tilo and Spang, Rainer (2018) Modelling cancer progression using Mutual Hazard Networks. biorxiv.org. (Submitted)

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Date of publication of this fulltext: 26 Apr 2019 06:24

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Other URL: http://doi.org/10.1101/450841


Abstract

Motivation: Cancer progresses by accumulating genomic events, such as mutations and copy number alterations, whose chronological order is key to understanding the disease but difficult to observe. Instead, cancer progression models use co-occurence patterns in cross-sectional data to infer epistatic interactions between events and thereby uncover their most likely order of occurence. ...

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Item type:Article
Date:2018
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Andreas Schäfer
Physics > Institute of Theroretical Physics > Professor Morgenstern
Identification Number:
ValueType
10.1101/450841DOI
Dewey Decimal Classification:500 Science > 530 Physics
600 Technology > 610 Medical sciences Medicine
Status:Submitted
Refereed:No, this version has not been refereed yet (as with preprints)
Created at the University of Regensburg:Yes
Item ID:40090
Owner only: item control page

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