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Activity Number:
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366
- New Advances in Integrative Learning for Multi-Group and Multi-View Data
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Type:
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Invited
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Date/Time:
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Wednesday, August 10, 2022 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract #320362
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Title:
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Single-Cell Multi-Omic Integration Using Sparse Multi-View Non-Negative Matrix Factorization with Graph Regularization
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Author(s):
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Dorothy DeMore Ellis* and Susmita Datta and Arkaprava Roy
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Companies:
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University of Florida and University of Florida and University of Florida
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Keywords:
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multi-view;
single cell;
multiomics
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Abstract:
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We develop a method to integrate information from multiple views of single-cell omics data measured on the same set of cells and build a consensus cell matrix to allow for identification of cell sub-types via non-negative matrix factorization. We also incorporate graph regularization to preserve geometrical structure of the data and sparsity constraints into our method to account for the inherent sparsity of single-cell data.
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Authors who are presenting talks have a * after their name.
