ArticlePloS one2013
MIDClass: microarray data classification by association rules and gene expression intervals.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles.Saudi journal of biological sciences · 2018Article
- Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data.BioData mining · 2017Article
- A primer to frequent itemset mining for bioinformatics.Briefings in bioinformatics · 2015Review
- Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.PloS one · 2015Article
- A novel strategy for gene selection of microarray data based on gene-to-class sensitivity information.PloS one · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
We present a new classification method for expression profiling data, called MIDClass (Microarray Interval Discriminant CLASSifier), based on association rules. It classifies expressions profiles exploiting the idea that the transcript expression intervals better discriminate subtypes in the same class. A wide experimental analysis shows the effectiveness of MIDClass compared to the most prominent classification approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.