Exploring species-based strategies for gene normalization. - Wikidata - awgldk - TriplyDB

Exploring species-based strategies for gene normalization.

Exploring species-based strategies for gene normalization.

http://www.wikidata.org/entity/Q34090329

about

Cross-species gene normalization by species inference Text mining improves prediction of protein functional sites.Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization.Chapter 16: text mining for translational bioinformatics.pGenN, a gene normalization tool for plant genes and proteins in scientific literature.Literature mining of protein-residue associations with graph rules learned through distant supervision Which species is it? Species-driven gene name disambiguation using random walks over a mixture of adjacency matrices.Entity recognition in the biomedical domain using a hybrid approach.

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P2860

Exploring species-based strategies for gene normalization.

http://www.wikidata.org/entity/Q34090329

description

2010 nî lūn-bûn

@nan

2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2010年の論文

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2010年論文

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2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

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2010年論文

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2010年论文

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name

Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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Exploring species-based strategies for gene normalization.

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IEEE/ACM Transactions on Computational Biology and Bioinformatics

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Exploring species-based strategies for gene normalization.

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Christophe Roeder

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Helen L Johnson

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K Bretonnel Cohen

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William A Baumgartner

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P2860

OpenDMAP: an open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein transport, protein interactions and cell-type-specific gene expression

An open-source framework for large-scale, flexible evaluation of biomedical text mining systems.

ProMiner: rule-based protein and gene entity recognition

Disambiguating the species of biomedical named entities using natural language parsers.

Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge.

Overview of BioCreative II gene normalization

Introducing meta-services for biomedical information extraction

Concept recognition for extracting protein interaction relations from biomedical text

Linking entries in protein interaction database to structured text: the FEBS Letters experiment.

A simple algorithm for identifying abbreviation definitions in biomedical text.

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10.1109/TCBB.2010.48

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Kevin Bretonnel Cohen

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