Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data
Zuqi Li, Sam F. L. Windels, Seth M. Weinberg, Kristel Van Steen et al.
Journal
Bioinformatics
Topics
Gene expression and cancer classification
article
Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data
Zuqi Li, Sam F. L. Windels, Seth M. Weinberg, Kristel Van Steen, Peter D. Claes, Mary L. Marazita, Mark D. Shriver, Nataša Pržulj, Noël Malod‐Dognin, David W. Fardo, Susan Walsh
article en
Abstract
No abstract available for this paper.
Publication Tag
BioinformaticsVol. 41(4)
Institutions
Institució Catalana de Recerca i Estudis Avançats (ES), Pennsylvania State University (US), University of Indianapolis (US), University of Kentucky (US), University of Liège (BE), University of Pittsburgh (US), Barcelona Supercomputing Center (ES), Universitair Ziekenhuis Leuven (BE), International Craniofacial Institute (US), Center for Human Genetics (US), Murdoch Children's Research Institute (AU), University College London (GB), Indiana University – Purdue University Indianapolis (US), Universitat Politècnica de Catalunya (ES), KU Leuven (BE)
Funders
European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
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Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data — Zuqi Li, Sam F. L. Windels, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS