An Adaptive Sparse Subspace Clustering for Cell Type Identification-Reference-Cited by-同舟云学术

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An Adaptive Sparse Subspace Clustering for Cell Type Identification

Published:2020-04-28 Issue: Volume:11 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Zheng Ruiqing,Liang Zhenlan,Chen Xiang,Tian Yu,Cao Chen,Li Min

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference40 articles.

1. A comparison of automatic cell identification methods for single-cell RNA-sequencing data;Abdelaal;Genome Biol.,2019

2. Scenic: single-cell regulatory network inference and clustering;Aibar;Nat. Methods,2017

3. A single-cell transcriptomic map of the human and mouse pancreas reveals inter-and intra-cell population structure;Baron;Cell Syst.,2016

4. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Found. Trends Mach. Learn.,2011

5. Integrating single-cell transcriptomic data across different conditions, technologies, and species;Butler;Nat. Biotechnol.,2018

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2. SPIDE: A single cell potency inference method based on the local cell-specific network entropy;Methods;2023-12

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4. ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization;Journal of Computational Biology;2023-08-01

5. Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA;Nature Communications;2023-01-25

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