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Identifying driver mutations in sequenced cancer genomes: Computational approaches to enable precision medicine
Benjamin J. Raphael
, Jason R. Dobson
, Layla Oesper
, Fabio Vandin
Research output
:
Contribution to journal
›
Review article
›
peer-review
166
Scopus citations
Overview
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Dive into the research topics of 'Identifying driver mutations in sequenced cancer genomes: Computational approaches to enable precision medicine'. Together they form a unique fingerprint.
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Medicine and Dentistry
Malignant Neoplasm
100%
Personalized Medicine
100%
Somatic Mutation
80%
DNA Sequence
60%
Protein Structure
20%
Neoplasm
20%
Drive
20%
Peptide Sequence
20%
Protein Interaction
20%
Interaction Network
20%
Cancer Treatment
20%
Biochemistry, Genetics and Molecular Biology
Somatic Mutation
100%
Deep Sequencing
75%
Drive
25%
Protein Structure
25%
Peptide Sequence
25%
Protein Interaction
25%
Immunology and Microbiology
Somatic Mutation
100%
DNA Sequence
75%
Amino Acid Sequence
25%
Protein Structure
25%
Protein Interaction
25%
Keyphrases
Random mutation
33%
Pathway Interaction Network
33%