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Pre-miRNA classification via combinatorial feature mining and boosting
Ling Zhong
,
Jason T.L. Wang
, Dongrong Wen
, Bruce A. Shapiro
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
4
Scopus citations
Overview
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Dive into the research topics of 'Pre-miRNA classification via combinatorial feature mining and boosting'. Together they form a unique fingerprint.
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Keyphrases
Feature Mining
100%
Pre-miRNA
100%
Combinatorial Features
100%
Feature Boosting
100%
Pre-microRNA
100%
Non-coding RNA (ncRNA)
50%
Ensemble Classifier
50%
Hairpin
50%
Precursor Molecules
50%
Computational Methods
25%
Support Vector Machine
25%
Data Mining Techniques
25%
Secondary Structure
25%
Sequence Structure
25%
MicroRNA
25%
Classification Model
25%
MicroRNA Precursor
25%
Stem-loop
25%
Hairpin Structure
25%
Boosting Algorithm
25%
Stem-loop Hairpins
25%
Computer Science
classifier ensemble
100%
Computational Method
50%
Experimental Result
50%
Support Vector Machine
50%
Good Performance
50%
Secondary Structure
50%
Classification Models
50%
Boosting Algorithms
50%
Biochemistry, Genetics and Molecular Biology
MicroRNA
100%
Precursor
37%
Non-Coding RNA
25%
Stem-Loop
25%
Protein Secondary Structure
12%
Support Vector Machine
12%