Practical Approaches for Mining Frequent Patterns in Molecular Datasets-Reference-Cited by-同舟云学术

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Practical Approaches for Mining Frequent Patterns in Molecular Datasets

Published:2016-01 Issue: Volume:10 Page:BBI.S38419
ISSN:1177-9322
Container-title:Bioinformatics and Biology Insights
language:en
Short-container-title:Bioinform Biol Insights

Author:

Naulaerts Stefan¹²,Moens Sandy¹,Engelen Kristof³,Berghe Wim Vanden⁴,Goethals Bart¹,Laukens Kris¹²,Meysman Pieter¹²

Affiliation:

1. Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.

2. Biomedical Informatics Research Center Antwerpen (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.

3. Department of Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.

4. Department of Biomedical Sciences, Laboratory of Protein Science, Proteomics and Epigenetic Signaling (PPES), University of Antwerp, Antwerp, Belgium.

Publisher

SAGE Publications

Subject

Applied Mathematics,Computational Mathematics,Computer Science Applications,Molecular Biology,Biochemistry

Link

http://journals.sagepub.com/doi/pdf/10.4137/BBI.S38419

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extending Association Rule Mining to Microbiome Pattern Analysis: Tools and Guidelines to Support Real Applications;Frontiers in Bioinformatics;2022-01-10

2. Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine;Med One;2020

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