Probabilistic Deconvolution
Probabilistic Deconvolution is a computational method within cell-type deconvolution that distinguishes itself by inferring cell type proportions through probabilistic modeling of gene expression data under uncertainty.
31
Publications
1.8K
Citations
150
Authors
75
Institutions
Publications per year
2017–2026
10
Parents
31
Enricomaria Mormina, Marcello Longo, Alessandro Arrigo et al. · American Journal of Neuroradiology · 2015 · 77 citations · Full text
Medicine, Neuroscience, Radiology +17
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75
Centro Neurolesi Bonino Pulejo
Messina, Italy
3 h-index
4 publications
224 citations

McMaster University
Hamilton, Canada
2 h-index
6 publications
537 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
36 citations

University of Messina
Messina, Italy
2 h-index
12 publications
834 citations
Columbia University
New York, United States
2 h-index
3 publications
81 citations
University College London
London, United Kingdom
2 h-index
3 publications
1.3K citations
Graz University of Technology
Graz, Austria
1 h-index
1 publications
24 citations

University of Richmond
Richmond, United States
1 h-index
1 publications
30 citations
1–8 of 75
2 publications · 36 citations
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2 publications · 43 citations
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AJNR · 2 publications · 122 citations
2
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2 publications · 179 citations
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1 publications · 30 citations
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