CIViCmine

CIViCmine is a literature-mined database of clinically relevant cancer biomarkers from data from PubMed and Pubmed Central Open Access subset.

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Publications

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Text-mining clinically relevant cancer biomarkers for curation into the CIViC database
PMID: 31796060

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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• Text-mining clinically relevant cancer biomarkers for curation into the CIViC database PubMed citations: 12.

  12 articles citing: Text-mining clinically relevant cancer biomarkers for curation into the CIViC database

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  Findings from precision oncology in the clinic: rare, novel variants are a significant contributor to scaling molecular diagnostics. PMID:35346197

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  Identifying and Validating Networks of Oncology Biomarkers Mined From the Scientific Literature. PMID:35342286

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  Molecular-based precision oncology clinical decision making augmented by artificial intelligence. PMID:34874054

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  Text Mining for Building Biomedical Networks Using Cancer as a Case Study. PMID:34680062

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  SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations. PMID:34607568

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  Information Retrieval Using Machine Learning for Biomarker Curation in the Exposome-Explorer. PMID:34490412

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  A Computational Exploration of the Molecular Network Associated to Neuroinflammation in Alzheimer's Disease. PMID:34335238

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  Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology. PMID:34162978

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  Knowledge bases and software support for variant interpretation in precision oncology. PMID:33971666

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  Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices. PMID:32644817

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  Keeping up with the genomes: scaling genomic variant interpretation. PMID:31892366

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  PGxMine: Text mining for curation of PharmGKB. PMID:31797632

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biomarkers

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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oncology

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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natural language processing

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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machine learning

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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data submission, annotation and curation

metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.809010

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biomarkers oncology natural language processing data submission, annotation and curation