Identifying Cell Types in Single-Cell Multimodal Omics Data via Joint Embedding Learning-Reference-Cited by-同舟云学术

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Identifying Cell Types in Single-Cell Multimodal Omics Data via Joint Embedding Learning

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Knowledge and Systems Engineering (KSE)
language:
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Author:

Do Van Hoan¹,Canzar Stefan²

Affiliation:

1. Le Quy Don Technical University,Center for Applied Mathematics and Informatics,Hanoi,Vietnam

2. Huck Institutes of the Life Sciences, The Pennsylvania State University University,Department of Computer Science and Engineering,Park,PA,United States,16802

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10298834/10298844/10299517.pdf?arnumber=10299517

Reference24 articles.

1. Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

2. Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin

3. Umap: Uniform manifold approximation and projection for dimension reduction;mcinnes;ArXiv e-prints at https //arxiv org/abs/1802 03426,2018

4. Multi-task learning from multimodal single-cell omics with Matilda

5. Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics

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