tmVar: a text mining approach for extracting sequence variants in biomedical literature (Q34657701)

3 August 2017

title

tmVar: a text mining approach for extracting sequence variants in biomedical literature (English)

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3 August 2017

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1

Chih-Hsuan Wei

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3 August 2017

2

Bethany R Harris

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3 August 2017

4

Zhiyong Lu

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3 August 2017

Hung-Yu Kao

3

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3 August 2017

language of work or name

English

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publication date

5 April 2013

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3 August 2017

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3 August 2017

volume

29

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3 August 2017

issue

11

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3 August 2017

page(s)

1433-1439

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Biocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track II

3 August 2017

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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Towards a systematic evaluation of protein mutation extraction systems

7 July 2018

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A workflow for mutation extraction and structure annotation.

7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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Application of automatic mutation-gene pair extraction to diseases

21 January 2018

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https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT156

On the limited memory BFGS method for large scale optimization

21 January 2018

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https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT156

An entity tagger for recognizing acquired genomic variations in cancer literature.

21 January 2018

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https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT156

Novel tools for extraction and validation of disease-related mutations applied to Fabry disease

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/23564842

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1093/BIOINFORMATICS/BTT156

1 reference

journals/bioinformatics/WeiHKL13

3 August 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

3 August 2017

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