Time-series Coexpression Analysis
Time-Series Coexpression Analysis is a computational method within gene coexpression network analysis that identifies temporally dynamic patterns of coordinated gene expression by measuring pairwise transcriptional correlations across ordered, sequential time points.
30
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1.4K
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130
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76
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2017–2026
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Time-lag cross-correlations in collective phenomena
Boris Podobnik, D. Wang, Davor Horvatić et al. · Europhysics Letters (EPL) · 2010 · 219 citations
Life Sciences, Genetics, Physiology +13
Cluster analysis and data visualization of large-scale gene expression data.
George S. Michaels, Daniel B. Carr, Manor Askenazi et al. · PubMed · 1998 · 179 citations
Identifying time-lagged gene clusters using gene expression data
Liping Ji, Kian‐Lee Tan · Bioinformatics · 2004 · 80 citations · Full text
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University of Washington
Seattle, United States
2 h-index
7 publications
563 citations

Indian Statistical Institute
Kolkata, India
2 h-index
2 publications
63 citations
Czech Academy of Sciences, Institute of Microbiology
Prague, Czechia
2 h-index
6 publications
370 citations
Harbin Medical University
Harbin, China
2 h-index
15 publications
501 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
220 citations

National Taiwan University
Taipei, Taiwan
2 h-index
5 publications
140 citations
Central Hospital of Putuo District
Shanghai, China
1 h-index
2 publications
94 citations
Fourth Affiliated Hospital of Harbin Medical University
Harbin, China
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9 publications
423 citations
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4 publications · 154 citations
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1 publications · 13 citations
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1 publications · 47 citations
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CABIOS · 1 publications · 27 citations
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PRL · 1 publications · 136 citations
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