A downsampling method enables robust clustering and integration of single-cell transcriptome data-Reference-Cited by-同舟云学术

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A downsampling method enables robust clustering and integration of single-cell transcriptome data

Published:2022-06 Issue: Volume:130 Page:104093
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Ren Jun,Zhang Quan,Zhou Ying,Hu Yudi,Lyu Xuejing,Fang Hongkun,Yang Jing,Yu Rongshan,Shi Xiaodong,Li Qiyuan

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference66 articles.

1. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19;Liao;Nat. Med.,2020

2. Single-cell reconstruction of the early maternal–fetal interface in humans;Vento-Tormo;Nature,2018

3. Human Cell Atlas and cell-type authentication for regenerative medicine;Panina;Exp. Mol. Med.,2020

4. Identification of cell types from single-cell transcriptomes using a novel clustering method;Xu;Bioinformatics,2015

5. SC3: consensus clustering of single-cell RNA-seq data;Kiselev;Nat. Methods,2017

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4. ANPELA: Significantly Enhanced Quantification Tool for Cytometry‐Based Single‐Cell Proteomics;Advanced Science;2023-03-22

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