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Supervised group Lasso with applications to microarray data analysis
Shuangge Ma
, Xiao Song
,
Jian Huang
Research output
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Journal article publication
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Journal article
›
Academic research
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peer-review
195
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Citations (Scopus)
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Dive into the research topics of 'Supervised group Lasso with applications to microarray data analysis'. Together they form a unique fingerprint.
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Keyphrases
Microarray Analysis
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Cluster Structure
75%
Gene Expression Data
75%
Performance Prediction
50%
Microarray Data
50%
Gene Selection
50%
Selection Model
25%
Statistical Methods
25%
Lymphoma
25%
K-means
25%
Tuning Parameter
25%
Classification Analysis
25%
Disease Diagnosis
25%
Survival Analysis
25%
Gene Cluster
25%
V-fold Cross-validation
25%
Disease Classification
25%
Disease Prognosis
25%
Optimal number of Clusters
25%
Leave-one-out
25%
Co-regulated Genes
25%
Predictive Model Building
25%
Survival Outcomes
25%
Cancer Occurrence
25%
Microarray Gene Expression
25%
Cancer Dataset
25%
Gap Technique
25%
LASSO Algorithm
25%
Influential Genes
25%
Disease Survival
25%
Clustering Information
25%
Computer Science
Gene Expression Data
100%
Microarray Data Analysis
100%
Cluster Structure
75%
Microarray Data
50%
Prediction Performance
50%
Fold Cross Validation
25%
Predictive Model
25%
Selection Model
25%
Mathematics
Cross-Validation
100%
Optimal Number
50%
Building Predictive Model
50%
Statistical Method
50%
Survival Analysis
50%
K-Means
50%
Biochemistry, Genetics and Molecular Biology
Gene Expression Data
100%
Disease Classification
25%
Gene Cluster
25%