DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
about
Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts.SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literaturenala: text mining natural language mutation mentions.Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins.Identifying genotype-phenotype relationships in biomedical text.eGARD: Extracting associations between genomic anomalies and drug responses from text.Deep learning of mutation-gene-drug relations from the literature.Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer.DES-Mutation: System for Exploring Links of Mutations and Diseases
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P2860
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@ast
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@en
type
label
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@ast
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@en
prefLabel
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@ast
DiMeX: A Text Mining System for Mutation-Disease Association Extraction.
@en
P2093
P2860
P1433
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DiMeX: A Text Mining System for Mutation-Disease Association Extraction
@en
P2093
A S M Ashique Mahmood
K Vijay-Shanker
Tsung-Jung Wu
P2860
P304
P356
10.1371/JOURNAL.PONE.0152725
P407
P577
2016-04-13T00:00:00Z