Editorial: Machine learning methods in single-cell immune and drug response prediction

被引：2
|
作者：
Qi, Ren [1 ,2 ]
Zou, Quan [2 ,3 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu, Peoples R China
[2] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Quzhou, Quzhou, Peoples R China
[3] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu, Peoples R China
来源：
FRONTIERS IN GENETICS | 2023年 / 14卷
基金：
中国国家自然科学基金;
关键词：
single-cell sequencing data; single-cell immune; drug response prediction; machine learning; feature selection;
D O I：
10.3389/fgene.2023.1233078
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [41] Morphokinetic single-cell analysis and machine learning as a tool to characterize breast cancer cell motility and response to therapy
    Tsarfaty, Ilan
    Megides, Or
    Doron, Ohad
    Alaloof, Hagar
    Moskowitz, Ori
    Horev, Judith
    CLINICAL CANCER RESEARCH, 2021, 27 (05)
  • [42] Measuring Drug Response with Single-Cell Growth Rate Quantification
    Xu, Fiona Xi
    Wu, Ruibing
    Hu, Kailun
    Fu, Dan
    ANALYTICAL CHEMISTRY, 2023, 95 (49) : 18114 - 18121
  • [43] Unraveling the Drug Response Heterogeneity with Single-Cell Vibrational Phenomics
    Wang, Yue
    Wang, Yadi
    Lue, Junhong
    Li, Xueling
    CELL BIOCHEMISTRY AND BIOPHYSICS, 2024, 82 (03) : 2503 - 2510
  • [44] Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution
    Xu, Yaochen
    Huang, FeiMing
    Guo, Wei
    Feng, KaiYan
    Zhu, Lin
    Zeng, Zhenbing
    Huang, Tao
    Cai, Yu-Dong
    FRONTIERS IN GENETICS, 2023, 14
  • [45] Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer
    Zang, Longjun
    Zhang, Baoming
    Zhou, Yanling
    Zhang, Fusheng
    Tian, Xiaodong
    Tian, Zhongming
    Chen, Dongjie
    Miao, Qingwang
    AGING-US, 2023, 15 (23): : 14109 - 14140
  • [46] Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing
    Fang Liu
    Baohua Mei
    Jianfeng Xu
    Yong Zou
    Gang Luo
    Haiyu Liu
    Genes & Genomics, 2025, 47 (1) : 19 - 35
  • [47] Identifying tumor cells at the single-cell level using machine learning
    Jan Dohmen
    Artem Baranovskii
    Jonathan Ronen
    Bora Uyar
    Vedran Franke
    Altuna Akalin
    Genome Biology, 23
  • [48] Identifying tumor cells at the single-cell level using machine learning
    Dohmen, Jan
    Baranovskii, Artem
    Ronen, Jonathan
    Uyar, Bora
    Franke, Vedran
    Akalin, Altuna
    GENOME BIOLOGY, 2022, 23 (01)
  • [49] Biases in machine-learning models of human single-cell data
    Theresa Willem
    Vladimir A. Shitov
    Malte D. Luecken
    Niki Kilbertus
    Stefan Bauer
    Marie Piraud
    Alena Buyx
    Fabian J. Theis
    Nature Cell Biology, 2025, 27 (3) : 384 - 392
  • [50] A global genetic interaction network by single-cell imaging and machine learning
    Heigwer, Florian
    Scheeder, Christian
    Bageritz, Josephine
    Yousefian, Schayan
    Rauscher, Benedikt
    Laufer, Christina
    Beneyto-Calabuig, Sergi
    Funk, Maja Christina
    Peters, Vera
    Boulougouri, Maria
    Bilanovic, Jana
    Miersch, Thilo
    Schmitt, Barbara
    Blass, Claudia
    Port, Fillip
    Boutros, Michael
    CELL SYSTEMS, 2023, 14 (05) : 346 - +
12345