Make every cell count: a novel and versatile approach to single cell RNA-Seq

被引：0
作者：
Laliberte, Julie [1 ]
Argun, Tijda [1 ]
Maleckova, Eva [1 ]
Monschau, Bruno [1 ]
Fang, Nan [1 ]
机构：
[1] Singleron Biotechnol, Cologne, Germany
来源：
EUROPEAN JOURNAL OF HUMAN GENETICS | 2024年 / 32卷
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
P13.082.B
引用
收藏
页码：573 / 573
页数：1
相关论文
共 50 条
  • [21] PRECISION AND ACCURACY IN SINGLE-CELL RNA-SEQ
    Dai, Rujia
    Zhang, Ming
    Chu, Tianyao
    Kopp, Richard
    Zhang, Chunling
    Liu, Kefu
    Wang, Yue
    Wang, Xusheng
    Chen, Chao
    Liu, Chunyu
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2024, 87 : 21 - 21
  • [22] SAIC: an iterative clustering approach for analysis of single cell RNA-seq data
    Yang, Lu
    Liu, Jiancheng
    Lu, Qiang
    Riggs, Arthur D.
    Wu, Xiwei
    BMC GENOMICS, 2017, 18
  • [23] A contamination focused approach for optimizing the single-cell RNA-seq experiment
    Arceneaux, Deronisha
    Chen, Zhengyi
    Simmons, Alan J.
    Heiser, Cody N.
    Southard-Smith, Austin N.
    Brenan, Michael J.
    Yang, Yilin
    Chen, Bob
    Xu, Yanwen
    Choi, Eunyoung
    Campbell, Joshua D.
    Liu, Qi
    Lau, Ken S.
    ISCIENCE, 2023, 26 (07)
  • [24] Dissecting intratumoral myeloid cell plasticity by single cell RNA-seq
    Song, Qianqian
    Hawkins, Gregory A.
    Wudel, Leonard
    Chou, Ping-Chieh
    Forbes, Elizabeth
    Pullikuth, Ashok K.
    Liu, Liang
    Jin, Guangxu
    Craddock, Lou
    Topaloglu, Umit
    Kucera, Gregory
    O'Neill, Stacey
    Levine, Edward A.
    Sun, Peiqing
    Watabe, Kounosuke
    Lu, Yong
    Alexander-Miller, Martha A.
    Pasche, Boris
    Miller, Lance D.
    Zhang, Wei
    CANCER MEDICINE, 2019, 8 (06): : 3072 - 3085
  • [25] Unsupervised cell functional annotation for single-cell RNA-seq
    Li, Dongshunyi
    Ding, Jun
    Bar-Joseph, Ziv
    GENOME RESEARCH, 2022, 32 (09) : 1765 - 1775
  • [26] SAIC: an iterative clustering approach for analysis of single cell RNA-seq data
    Lu Yang
    Jiancheng Liu
    Qiang Lu
    Arthur D. Riggs
    Xiwei Wu
    BMC Genomics, 18
  • [27] A novel method for predicting cell abundance based on single-cell RNA-seq data
    Jiajie Peng
    Lu Han
    Xuequn Shang
    BMC Bioinformatics, 22
  • [28] A novel method for predicting cell abundance based on single-cell RNA-seq data
    Peng, Jiajie
    Han, Lu
    Shang, Xuequn
    BMC BIOINFORMATICS, 2021, 22 (SUPPL 9)
  • [29] f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
    Florian Buettner
    Naruemon Pratanwanich
    Davis J. McCarthy
    John C. Marioni
    Oliver Stegle
    Genome Biology, 18
  • [30] f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
    Buettner, Florian
    Pratanwanich, Naruemon
    McCarthy, Davis J.
    Marioni, John C.
    Stegle, Oliver
    GENOME BIOLOGY, 2017, 18
12345