Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.
about
Crowdsourcing in biomedicine: challenges and opportunitiesGNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein DomainsGetting personalized cancer genome analysis into the clinic: the challenges in bioinformaticsThe HIV mutation browser: a resource for human immunodeficiency virus mutagenesis and polymorphism dataAuDis: an automatic CRF-enhanced disease normalization in biomedical textBenchmarking infrastructure for mutation text miningBeyond accuracy: creating interoperable and scalable text-mining web servicesmiRTex: A Text Mining System for miRNA-Gene Relation Extraction.A mutation-centric approach to identifying pharmacogenomic relations in text.Recent advances in predicting gene-disease associationsHybrid curation of gene-mutation relations combining automated extraction and crowdsourcingMutation extraction tools can be combined for robust recognition of genetic variants in the literatureAssociating disease-related genetic variants in intergenic regions to the genes they impacttmVar: a text mining approach for extracting sequence variants in biomedical literature.Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literatureIncorporating molecular and functional context into the analysis and prioritization of human variants associated with cancerDiMeX: A Text Mining System for Mutation-Disease Association Extraction.Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literatureText Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision MedicineBRONCO: Biomedical entity Relation ONcology COrpus for extracting gene-variant-disease-drug relations.Annotating the biomedical literature for the human variome.Towards precision medicine: advances in computational approaches for the analysis of human variantsLiterature mining of genetic variants for curation: quantifying the importance of supplementary material.SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literatureMining clinical attributes of genomic variants through assisted literature curation in Egas.SETH detects and normalizes genetic variants in text.ABCMdb: a database for the comparative analysis of protein mutations in ABC transporters, and a potential framework for a general application.Identifying genotype-phenotype relationships in biomedical text.tmVar 2.0: integrating genomic variant information from literature with dbSNP and ClinVar for precision medicine.Deep learning of mutation-gene-drug relations from the literature.The SNPcurator: literature mining of enriched SNP-disease associations.Chemical–gene relation extraction using recursive neural network.LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC.Scaling up data curation using deep learning: An application to literature triage in genomic variation resourcesDES-Mutation: System for Exploring Links of Mutations and Diseases
P2860
Q19857267-6132E1BD-E835-4304-80BE-A192A59A47F0Q28200510-0499D89D-23B5-4AB8-9952-BFB0AE659133Q28394818-BF241EA8-6F92-4E3C-98DA-01B7FA62D20BQ28542469-B71E00E1-2CEC-48A9-BF3D-EE985D7EEA18Q28601529-7FAE25AB-5E73-482E-81B5-8DE6017158D0Q28658315-CD081CFA-6571-482F-A507-C07FA54307BEQ28971434-63FBDB18-2B39-4B7F-9D76-5F37873E1384Q30488373-0453D11C-77DC-42C9-AFA7-917E78C2914AQ31063941-D51A83A4-9992-4CDD-83F0-29B24C3A2063Q33631987-59593AA5-B644-456B-A25A-D2363DEA70C8Q34221562-E75ECB2B-FE60-436B-B741-CEF1870493E8Q34249896-51481439-EEBE-4A82-B27B-A81BC0964E09Q34440951-2AB20C9D-2206-4C1D-9528-78C83AD4C867Q34657701-0307C7AC-3108-41C5-ABA3-F9400AA5D1D8Q35654774-A2CA3594-9757-4BD3-A01F-EB33AEA160F0Q35751267-128051E4-C7E4-48A5-8754-76D282D91D65Q35988105-B30EB3D4-A492-4CAA-BA29-DB413AEB438DQ36001233-94139F1A-6071-4A8E-85FA-2653B2F169A0Q36180839-71752E05-C647-4820-BF1B-D771520D69E6Q36207982-5A0D7BAC-C6B7-4045-B0C2-191BCDCDFFB4Q36794964-F8896E43-DBD9-48B9-A31D-ED22F6DC5B33Q36911878-239E14EC-D921-4D6A-9DB3-F0B60DDB553CQ37251907-468C861A-4A05-4920-82DD-648493FE507EQ37575699-C1C6D518-D7CE-4B19-AA81-517963677C5FQ38378388-62A232BB-7892-400C-B448-E98141271001Q38446287-CE9C06A6-51AD-4B29-9A1B-8D9E0FE69589Q39713697-9154574C-FCB0-414C-9866-5F32F56698F0Q43417803-F1DC8E4A-D853-40FD-BE88-B9D36C7165B9Q45943227-6236EA41-9EA5-4F03-8511-B7D062FF967DQ47317210-F2E0CCB5-65D9-495E-A0EE-E4C789EB5501Q49449222-F48511A5-DFDD-47D8-ADC1-2C8A85EBCDDEQ55118306-BAB5AEF7-4223-4F68-A11A-FA70A533DCDBQ55375406-F35CE108-B74E-4A19-915B-B6954C229AB6Q55518772-532A8B39-8104-4414-85B8-A5A1CBDEDE4DQ56888310-0B9D0861-BC8C-4A17-8E26-9206115B47DAQ57744099-71B65DC7-8748-4358-9426-36172107C177
P2860
Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Toward an automatic method for ...... rom the biomedical literature.
@ast
Toward an automatic method for ...... rom the biomedical literature.
@en
type
label
Toward an automatic method for ...... rom the biomedical literature.
@ast
Toward an automatic method for ...... rom the biomedical literature.
@en
prefLabel
Toward an automatic method for ...... rom the biomedical literature.
@ast
Toward an automatic method for ...... rom the biomedical literature.
@en
P2093
P2860
P356
P1433
P1476
Toward an automatic method for ...... rom the biomedical literature.
@en
P2093
Asa Adadey
Attila Kertesz-Farkas
Emily Doughty
Gary Thompson
Maricel G Kann
Olivier Bodenreider
Thomas Peterson
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ667
P407
P577
2010-12-07T00:00:00Z