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Inferring parsimonious migration histories for metastatic cancers
Mohammed El-Kebir
, Gryte Satas
,
Benjamin J. Raphael
Computer Science
Center for Statistics & Machine Learning
Lewis-Sigler Institute for Integrative Genomics
Princeton Branch of the Ludwig Institute for Cancer Research
Research output
:
Contribution to journal
›
Article
›
peer-review
98
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Scopus citations
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Keyphrases
Metastatic Cancer
100%
Metastasis
100%
Migration Patterns
100%
Cellular Migration
100%
Migration History
100%
Primary Tumor
66%
Clonal Lineages
66%
Sequence Data
33%
Cancer Cells
33%
Rigorous Analysis
33%
Accurate Determination
33%
Somatic mutation
33%
Phylogenetic Analysis
33%
Tumor Heterogeneity
33%
Multiple Cancers
33%
Mutation Data
33%
Multi-objective Optimization Algorithm
33%
Complex Patterns
33%
DNA Sequence Data
33%
Primary Metastases
33%
Anatomical Site
33%
Medicine and Dentistry
Metastatic Carcinoma
100%
Cell Migration
75%
Primary Tumor
50%
Proteus Syndrome
25%
DNA Sequence
25%
Somatic Mutation
25%
Agricultural and Biological Sciences
Cell Migration
100%
Lineages
66%
Somatic Mutation
33%
Neoplasm
33%
Tumor
33%
Earth and Planetary Sciences
Seeding
100%
Data Transmission
100%
Veterinary Science and Veterinary Medicine
Metastatic Cancer
100%
Cancer
33%
Neoplasm
33%
Tumor
33%
Biochemistry, Genetics and Molecular Biology
Cell Migration
100%
DNA Sequence
33%
Somatic Mutation
33%