Publisher Correction: The triumphs and limitations of computational methods for scRNA-seq

被引：0
|
作者：
Peter V. Kharchenko
机构：
[1] Harvard Medical School,Department of Biomedical Informatics
来源：
Nature Methods | 2021年 / 18卷 / 7期
关键词：
D O I：
10.1038/s41592-021-01223-2
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：835 / 835
相关论文
共 50 条
  • [21] Are dropout imputation methods for scRNA-seq effective for scHi-C data?
    Han, Chenggong
    Xie, Qing
    Lin, Shili
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (04)
  • [22] Feature selection methods affect the performance of scRNA-seq data integration and querying
    Zappia, Luke
    Richter, Sabrina
    Ramirez-Suastegui, Ciro
    Kfuri-Rubens, Raphael
    Vornholz, Larsen
    Wang, Weixu
    Dietrich, Oliver
    Frishberg, Amit
    Luecken, Malte D.
    Theis, Fabian J.
    NATURE METHODS, 2025, 22 (04)
  • [23] Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
    Abugessaisa, Imad
    Hasegawa, Akira
    Katayama, Shintaro
    Kere, Juha
    Kasukawa, Takeya
    STAR PROTOCOLS, 2023, 4 (01):
  • [24] ELLIPSIS: robust quantification of splicing in scRNA-seq
    Van Hecke, Marie
    Beerenwinkel, Niko
    Lootens, Thibault
    Fostier, Jan
    Raedt, Robrecht
    Marchal, Kathleen
    BIOINFORMATICS, 2025, 41 (02)
  • [25] Droplet scRNA-seq is not zero-inflated
    Valentine Svensson
    Nature Biotechnology, 2020, 38 : 147 - 150
  • [26] An Ensemble Machine Learning Approach for Benchmarking and Selection of scRNA-seq Integration Methods
    Zhao, Konghao
    Bhandari, Sapan
    Whitener, Nathan P.
    Grayson, Jason M.
    Khuri, Natalia
    14TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, BCB 2023, 2023,
  • [27] Methods for cell-type annotation on scRNA-seq data: A recent overview
    Lazaros, Konstantinos
    Vlamos, Panagiotis
    Vrahatis, Aristidis G.
    JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2023,
  • [28] Domain adaptation for supervised integration of scRNA-seq data
    Sun, Yutong
    Qiu, Peng
    COMMUNICATIONS BIOLOGY, 2023, 6 (01)
  • [29] ScRNA-seq links dental fibroblasts heterogeneity with mechanoresponsiveness
    Xu, Hongyuan
    Dai, Qinggang
    Wang, Xinyu
    Jin, Anting
    Yang, Yiling
    Huang, Xiangru
    Wang, Xijun
    Gao, Xin
    Sun, Siyuan
    Liu, Yuanqi
    Zhu, Yanfei
    Shen, Steve GF.
    Bian, Qian
    Jiang, Lingyong
    JOURNAL OF PERIODONTAL RESEARCH, 2023, 58 (04) : 800 - 812
  • [30] SCBOOLSEQ: Linking scRNA-seq statistics and Boolean dynamics
    Magana-Lopez, Gustavo
    Calzone, Laurence
    Zinovyev, Andrei
    Pauleve, Loic
    PLOS COMPUTATIONAL BIOLOGY, 2024, 20 (07)
12345