Single-Cell RNA-Seq Data Clustering: Highlighting Computational Challenges and Considerations-Reference-Cited by-同舟云学术

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Single-Cell RNA-Seq Data Clustering: Highlighting Computational Challenges and Considerations

Published:2023-12-05 Issue: Volume: Page:4228-4234
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Nossier Mohamad¹,Moussa Sherin M.²,Badr Nagwa³

Affiliation:

1. Ain Shams University,Faculty of Computer and Information Sciences,Program of Bioinformatics, Department of Information Systems,Cairo,Egypt,11566

2. Ain Shams University,Faculty of Computer and Information Sciences,Program of Bioinformatics, Department of Information Systems

3. Ain Shams University,Faculty of Computer and Information Sciences,Department of Information Systems,Cairo,Egypt,11566

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385639.pdf?arnumber=10385639

Reference50 articles.

1. A decade of molecular cell atlases

2. SCANPY: large-scale single-cell gene expression data analysis

3. Data clustering: 50 years beyond K-means

4. Current best practices in single‐cell RNA‐seq analysis: a tutorial

5. Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics

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