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Discovering statistically significant periodic gene expression
Jie Chen
, Kuang Chao Chang
Research output
:
Contribution to journal
›
Review article
›
peer-review
5
Scopus citations
Overview
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Dive into the research topics of 'Discovering statistically significant periodic gene expression'. Together they form a unique fingerprint.
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Mathematics
Cell
5%
Cell Cycle
31%
Cell Division
10%
Experiment
17%
False Discovery Rate
20%
Familywise Error Rate
10%
Gene
69%
Gene Expression
89%
Gene Expression Data
10%
Gene Expression Profile
13%
High Throughput
11%
Microarray
30%
Missing Values
9%
Monitoring
8%
Periodogram
9%
Profile
13%
Random Noise
10%
Review
11%
Statistical Inference
7%
Time Series Data
9%
Business & Economics
Experiment
14%
Gene
63%
Gene Expression
100%
Microarray
36%
Missing Values
11%
Monitoring
5%
Statistical Inference
11%
Throughput
8%
Time Series Data
7%