Editorial: Statistical and computational methods for single-cell sequencing analysis

Hou, Lin; Ji, Zhicheng; Wang, Jingshu; Xie, Jichun

doi:10.6082/t1aw5-v1h42

Published June 21, 2023 | Version v1

Journal article Open

Editorial: Statistical and computational methods for single-cell sequencing analysis

1. Tsinghua University
2. Duke University
3. University of Chicago

Files

Statistical-and-computational-methods-for-single-cell-sequencing-analysis.pdf

Files (519.1 kB)

Name	Size	Download all
Statistical-and-computational-methods-for-single-cell-sequencing-analysis.pdf md5:8b84c0deca3b783de5d63dc26d42152a	519.1 kB	Preview Download

Additional details

DOI: 10.3389/fgene.2023.1235174
Other: oai:uchicago.tind.io:6666

Division(s): Physical Sciences Division
Department(s): Statistics

Views

Downloads

Show more details

	All versions	This version
Views	0	0
Downloads	0	0
Data volume	0 Bytes	0 Bytes

More info on how stats are collected....

DOI

Resource type

Journal article

Publisher

University of Chicago

Published in

Frontiers in Genetics, 2023.

Languages

English

License

Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more
Distribution License

No further description.

Copyrights

© 2023 Hou, Ji, Wang and Xie This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Technical metadata

Created: May 22, 2026
Modified: May 22, 2026

Editorial: Statistical and computational methods for single-cell sequencing analysis

Files

Statistical-and-computational-methods-for-single-cell-sequencing-analysis.pdf

Files (519.1 kB)

Additional details

Identifiers

UChicago Information

Editorial: Statistical and computational methods for single-cell sequencing analysis

Creators

Files

Statistical-and-computational-methods-for-single-cell-sequencing-analysis.pdf

Files (519.1 kB)

Additional details

Identifiers

UChicago Information