Evaluation of automatic annotation methods for cell types based on single-cell transcriptome datasets

KANG Qi-chuan, YANG Qian, ZHOU Zhe, WANG Sheng-qi

PDF(3072 KB)
RSSE-mail Alert
Military Medical Sciences
Military Medical Sciences ›› 2022, Vol. 46 ›› Issue (12) : 901-908. DOI: 10.7644/j.issn.1674-9960.2022.12.004
Original articles

Evaluation of automatic annotation methods for cell types based on single-cell transcriptome datasets

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2022, 46(12): 901-908 https://doi.org/10.7644/j.issn.1674-9960.2022.12.004

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(3072 KB)

Accesses

Citation

Detail
Sections
Recommended

/

〈 〉