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Differential gene expression detection using penalized linear regression models: The improved SAM statistics
Baolin Wu
Research output
:
Contribution to journal
›
Article
›
peer-review
41
Scopus citations
Overview
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Dive into the research topics of 'Differential gene expression detection using penalized linear regression models: The improved SAM statistics'. Together they form a unique fingerprint.
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Mathematics
Gene Expression
100%
Linear Regression Model
78%
F-statistics
72%
Test Statistic
68%
Microarray Data
68%
Shrinkage
59%
Statistics
54%
Microarray
33%
Hierarchical Model
31%
Performance
31%
Framework
30%
Empirical Study
29%
Bayesian Methods
28%
Gene
25%
Linear regression
25%
Small Sample
25%
Penalty
24%
Least Squares
23%
Linear Model
23%
Regression
20%
Alternatives
16%
Estimate
12%
Class
7%
Engineering & Materials Science
Gene expression
87%
Linear regression
80%
Statistics
59%
Microarrays
45%
Genes
12%
Medicine & Life Sciences
Linear Models
62%
Statistics
61%
Gene Expression
47%
Bayes Theorem
19%
Least-Squares Analysis
17%
Nonparametric Statistics
15%
Genes
6%
Chemical Compounds
Microarrays
86%
Application
8%