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CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data

bioRxiv

Aug 19, 2014

Daniele RamazzottiBud (Bhubaneswar) Mishra

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Abstract

We devise a novel inference algorithm to effectively solve the cancer progression model reconstruction problem. Our empirical analysis of the accuracy and convergence rate of our algorithm, CAncer PRogression Inference (CAPRI), shows that it outperforms the state-of-the-art algorithms a...read more

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Mutation Abnormality
Genome
Acids, Acyclic
Patterns
Motivation
Aggregation
Structure
Tumor Progression
Disease Progression
Approach
9
12
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  • CAPRI: Efficient Inference of Cancer Progression Models from Cross-sectional Data

    bioRxiv

    Aug 19, 2014

    Daniele RamazzottiBud (Bhubaneswar) Mishra

    PMID: 990008110

    DOI: 10.1101/008110

    Abstract

    We devise a novel inference algorithm to effectively solve the cancer progression model reconstruction problem. Our empirical analysis of the accuracy and convergence rate of our algorithm, CAncer PRogression Inference (CAPRI), shows that it outperforms the state-of-the-art algorithms a...read more

    Mentioned in this Paper

    Mutation Abnormality
    Genome
    Acids, Acyclic
    Patterns
    Motivation
    9
    12

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