Transcriptomic Disease Modeling
Transcriptomic Disease Modeling is a computational or analytical framework that, as a specialized approach within molecular disease modeling, uniquely integrates high-throughput transcriptomic data to reconstruct, simulate, or infer disease-associated gene expression dynamics and regulatory aberrations underlying pathological mechanisms.
8
Publications
589
Citations
82
Authors
31
Institutions
Publications per year
2017–2026
5
Parents
8
IRWRLDA: improved random walk with restart for lncRNA-disease association prediction
Xing Chen, Zhu‐Hong You, Guiying Yan et al. · Oncotarget · 2016 · 210 citations · Full text
Physiogenomic resources for rat models of heart, lung and blood disorders
Renae L. Malek, Hong-ying Wang, Anne E. Kwitek et al. · Nature Genetics · 2006 · 49 citations
Life Sciences, Biology, Physiology +16
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31
National Center for Mathematics and Interdisciplinary Sciences
Beijing, China
1 h-index
1 publications
210 citations
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Bethesda, United States
1 h-index
1 publications
139 citations

Linköping University
Linköping, Sweden
1 h-index
5 publications
130 citations
Stanford University
Stanford, United States
1 h-index
5 publications
410 citations
Inserm
Paris, France
1 h-index
3 publications
90 citations
Alex's Lemonade Stand Foundation
Philadelphia, United States
1 h-index
2 publications
278 citations
Science for Life Laboratory
Stockholm, Sweden
1 h-index
8 publications
264 citations
Hôpital Bichat-Claude-Bernard
Paris, France
1 h-index
3 publications
90 citations
1–8 of 31
1 publications · 20 citations
1
h-index
1 publications · 49 citations
1
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EJP · 1 publications · 82 citations
1
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IJMS · 1 publications · 33 citations
1
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1 publications · 26 citations
1
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1–5