Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zedao Liu"'
Autor:
Chenwei Li, Baolin Liu, Boxi Kang, Zedao Liu, Yedan Liu, Changya Chen, Xianwen Ren, Zemin Zhang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
The increasing size of single cell sequencing data sets calls for scalable cell annotation methods. Here, the authors introduce SciBet, which uses a multinomial distribution model and maximum likelihood estimation for fast and accurate single cell id
Externí odkaz:
https://doaj.org/article/c160ac1e1a1e4a25b0baef251f5258dd
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
Photo-receptors are widely present in both prokaryotic and eukaryotic cells, which serves as the foundation of tuning cell behaviors with light. While practices in eukaryotic cells have been relatively established, trials in bacterial cells have only
Externí odkaz:
https://doaj.org/article/899a4585594d4904a9c535a36e70012c
Autor:
Chenwei Li, Baolin Liu, Boxi Kang, Zedao Liu, Yedan Liu, Changya Chen, Xianwen Ren, Zemin Zhang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-22248-3
Externí odkaz:
https://doaj.org/article/e03e5d8ebd484f48ad362b27e5c6cd1f
Autor:
Changya Chen, Yedan Liu, Boxi Kang, Zemin Zhang, Baolin Liu, Chenwei Li, Xianwen Ren, Zedao Liu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Nature Communications
Nature Communications
Fast, robust and technology-independent computational methods are needed for supervised cell type annotation of single-cell RNA sequencing data. We present SciBet, a supervised cell type identifier that accurately predicts cell identity for newly seq
Autor:
Zedao Liu, Zemin Zhang
Publikováno v:
Science. 376:695-696
Single-cell analyses reveal tissue-agnostic features and tissue-specific cell states
Publikováno v:
Quantitative Biology. Sep2022, Vol. 10 Issue 3, p299-300. 2p.
Publikováno v:
Quantitative Biology. 10:299
Autor:
Chenwei Li, Boxi Kang, Zedao Liu, Baolin Liu, Zemin Zhang, Changya Chen, Xianwen Ren, Yedan Liu
Fast, robust and technology-independent computational methods are needed for supervised cell type annotation of single-cell RNA sequencing data. We present SciBet, a Bayesian classifier that accurately predicts cell identity for newly sequenced cells
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f18e6f1333a3c4cdc109256c2f4e98
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
Frontiers in Microbiology
Frontiers in Microbiology
Photo-receptors are widely present in both prokaryotic and eukaryotic cells, which serves as the foundation of tuning cell behaviors with light. While practices in eukaryotic cells have been relatively established, trials in bacterial cells have only