Amanote Research

Amanote Research

    RegisterSign In

Semantic Approaches to Enable Drug Discovery in Biomedical Big Data

doi 10.22215/etd/2014-10530
Full Text
Open PDF
Abstract

Available in full text

Date

Unknown

Authors
Tanya Hiebert
Publisher

Carleton University


Related search

‘Big Data’ Approaches for Novel Anti-Cancer Drug Discovery

Expert Opinion on Drug Discovery
Drug Discovery
2017English

Transforming Cancer Drug Discovery With Big Data and AI

Expert Opinion on Drug Discovery
Drug Discovery
2019English

Alternative Approaches to Big Data Analysis

International Journal of Recent Trends in Engineering and Research
2017English

Semantic Mashup of Biomedical Data

Journal of Biomedical Informatics
Computer Science ApplicationsHealth Informatics
2008English

Chemical Screening Approaches Enabling Drug Discovery of Autophagy Modulators for Biomedical Applications in Human Diseases

Frontiers in Cell and Developmental Biology
Developmental BiologyCell Biology
2019English

Advances in Preclinical Approaches to Chagas Disease Drug Discovery

Expert Opinion on Drug Discovery
Drug Discovery
2019English

Semantic Biomedical Resource Discovery: A Natural Language Processing Framework

BMC Medical Informatics and Decision Making
Health PolicyHealth Informatics
2015English

Semantic Framework for Big Data in Chemoinformatics

2019English

Semantic Recognition of a Data Structure in Big-Data

Journal of Computer and Communications
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy