ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data

ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data

Background: Finding significant genes or proteins from gene chip data for disease diagnosis and drug development is an important task. However, the challenge comes from the curse of the data dimension. It is of great significance to use machine learning methods to find important features from the da...

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Bibliographic Details
Main Authors: Li, W. (Author), Wang, L. (Author), Xie, W. (Author), Yu, K. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Biomarker
Bio-marker discovery
Biomarkers
cleft lip
Cleft Lip
cleft palate
Cleft Palate
cluster analysis
Cluster Analysis
Clustering algorithms
Clusterings
Diagnosis
Discovery algorithm
Disease diagnosis
DNA microarray
Feature extraction
Feature selection
Feature selection methods
Features selection
Genechips
Genes
human
Humans
Iterative methods
L1 regularizations
Machine learning
Microarray
Microarrays data
Oligonucleotide Array Sequence Analysis
Redundant features
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