Text as data: Using text-based features for proteins representation and for computational prediction of their characteristics-Reference-Cited by-同舟云学术

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Text as data: Using text-based features for proteins representation and for computational prediction of their characteristics

Published:2015-03 Issue: Volume:74 Page:54-64
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Shatkay Hagit,Brady Scott,Wong Andrew

Funder

HS’s NSERC Discovery Award

NSERC Discovery Accelerator Award

CFI New Opportunities Award

Ontario’s Early Researcher Award

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference63 articles.

1. Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families

2. S. Brady, H. Shatkay, in: Proc. of the Pacific Symposium on Biocomputing (PSB’08), 2008, pp. 604–615.

3. Going from where to why—interpretable prediction of protein subcellular localization

4. SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins

5. The prediction of protein subcellular localization from sequence: a shortcut to functional genome annotation

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