JOURNAL ARTICLE

Data mining in bioinformatics

Abstract

In this talk I will discuss some data mining techniques and methods in the bioinformatics domain, what are the main challenges and what are the opportunities. I will cover some of the issues related to biomedical literature mining, bioinformatics data integration and biological network analysis and simulation. In biomedical literature mining, I will discuss the effective information retrieval and large-scale information extraction from biomedical literatures. I will also share my view of the semantic-based approach for data integration for bioinformatics domain. In the end, I will talk about the various approaches for biological network analysis and simulation.

Keywords:
Computer science Data science Biomedical text mining Domain (mathematical analysis) Data mining Translational bioinformatics Cover (algebra) Data integration Biological network Knowledge extraction Information extraction Biological data Text mining Information retrieval Bioinformatics Genomics Engineering

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.16
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Genetics, Bioinformatics, and Biomedical Research
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

Related Documents

BOOK-CHAPTER

Data Mining in Bioinformatics

Chiara Zucco

Elsevier eBooks Year: 2025 Pages: 399-408
JOURNAL ARTICLE

Data mining in bioinformatics

Mohammed J. ZakiJason T. L. WangHannu Toivonen

Journal:   ACM SIGKDD Explorations Newsletter Year: 2003 Vol: 5 (2)Pages: 198-199
BOOK-CHAPTER

Data Mining in Bioinformatics

Chiara Zucco

Elsevier eBooks Year: 2018 Pages: 328-335
© 2026 ScienceGate Book Chapters — All rights reserved.