Neurogenic Segmentation
Neurogenic Segmentation is a computational framework in segmentation genetics that identifies and delineates functional neural boundaries within biological tissues by integrating gene expression profiles with spatial developmental constraints to distinguish neurogenic regions from non-neurogenic ones.
6
Publications
390
Citations
21
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
6
1–5 of 6
21
Max Planck Institute of Molecular Cell Biology and Genetics, Germany
1 publications · 37 citations
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1
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1
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1–5 of 21
14

The Francis Crick Institute
London, United Kingdom
1 h-index
3 publications
111 citations

Foreign and Commonwealth Office
London, United Kingdom
1 h-index
4 publications
148 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
37 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
1 publications
39 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
220 citations

Population Health Research Institute
Hamilton, Canada
1 h-index
1 publications
27 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
39 citations
Fraunhofer Institute for Microengineering and Microsystems
Mainz, Germany
1 h-index
1 publications
110 citations
1–8 of 14
1 publications · 39 citations
1
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1 publications · 27 citations
1
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1 publications · 117 citations
1
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1 publications · 37 citations
1
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1 publications · 60 citations
1
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