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Multi-view clustering for multi-omics data using unified embedding

In real world applications, data sets are often comprised of multiple views, which provide consensus and complementary information to each other. Embedding learning is an effective strategy for nearest neighbour search and dimensionality reduction in large data sets. This paper attempts to learn a u...

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Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Mitra, Sayantan, Saha, Sriparna, Hasanuzzaman, Mohammed
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7423957/
https://ncbi.nlm.nih.gov/pubmed/32788601
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-70229-1
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