Article

eTumorMetastasis, a network-based algorithm predicts clinical outcomes using whole-exome sequencing data of cancer patients

2018-02-22

Abstract excerpt

Continual reduction in sequencing cost is expanding the accessibility of genome sequencing data for routine clinical applications. However, the lack of methods to construct machine learning-based predictive models using these datasets has become a crucial bottleneck for the application of sequencing technology in clinics. Here we developed a new algorithm, eTumorMetastasis, which transforms tumor functional mutati...

Topics

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

Identifiers and source

Literature Corpus work: 99b3dd62-d880-502c-a9d6-8977e9b17537
DOI: 10.1101/268680

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

eTumorMetastasis, a network-based algorithm predicts clinical outcomes using whole-exome sequencing data of cancer patientsDOI 10.1101/268680Read

Germline genetic variants associated with leukocyte-genes predict tumor recurrence in breast cancer patientsSemantic proximity Read

Evolutionary signatures of human cancers revealed via genomic analysis of over 35,000 patientsSemantic proximity Read

Germline variants associated with leukocyte genes predict tumor recurrence in breast cancer patientsSemantic proximity Read

EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants.Semantic proximity Read

Intratumor Heterogeneity Through the Lens of Gene Regulatory NetworksSemantic proximity Read

The Evolutionary Landscape of Pan-Cancer Drives Clinical AggressionSemantic proximity Read

Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data.Semantic proximity Read

Integrating gene mutation spectra from tumors and the general population with gene expression topological networks to identify novel cancer driver genesSemantic proximity Read

Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome.Semantic proximity Read

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation treesSemantic proximity Read

Challenges in identifying cancer genes by analysis of exome sequencing data.Semantic proximity Read

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees.Semantic proximity Read