CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research-Reference-Cited by-同舟云学术

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CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research

Published:2019-04 Issue:4 Volume:26 Page:376-386
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Feltes Bruno César¹,Chandelier Eduardo Bassani¹,Grisci Bruno Iochins¹,Dorn Márcio¹

Affiliation:

1. Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0238

Reference47 articles.

1. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

2. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

3. Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

4. A Beginner’s Guide to Microarrays

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