Joint learning improves protein abundance prediction in cancers

被引：0
|
作者：
Hongyang Li
Omer Siddiqui
Hongjiu Zhang
Yuanfang Guan
机构：
[1] University of Michigan,Department of Computational Medicine and Bioinformatics
[2] University of Michigan,Department of Internal Medicine
来源：
BMC Biology | / 17卷
关键词：
Cancer; Proteomics; Transcriptomics; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Joint learning improves protein abundance prediction in cancers
    Li, Hongyang
    Siddiqui, Omer
    Zhang, Hongjiu
    Guan, Yuanfang
    BMC BIOLOGY, 2019, 17 (01)
  • [2] Protein Abundance Prediction Through Machine Learning Methods
    Ferreira, Mauricio
    Ventorim, Rafaela
    Almeida, Eduardo
    Silveira, Sabrina
    Silveira, Wendel
    JOURNAL OF MOLECULAR BIOLOGY, 2021, 433 (22)
  • [3] Machine learning improves prediction of clinical outcomes for invasive breast cancers
    Cooper, Lee A. D.
    Siziopikou, Kalliopi P.
    NATURE MEDICINE, 2024, 30 (01) : 41 - 42
  • [4] Machine learning improves prediction of clinical outcomes for invasive breast cancers
    Cooper, Lee A. D.
    Siziopikou, Kalliopi P.
    NATURE MEDICINE, 2024, 30 (01) : 41 - 42
  • [5] Learning spatial structures of proteins improves protein-protein interaction prediction
    Song, Bosheng
    Luo, Xiaoyan
    Luo, Xiaoli
    Liu, Yuansheng
    Niu, Zhangming
    Zeng, Xiangxiang
    BRIEFINGS IN BIOINFORMATICS, 2022, 23 (02)
  • [6] Machine Learning Enables Comprehensive Prediction of the Relative Protein Abundance of Multiple Proteins on the Protein Corona
    Fu, Xiuhao
    Yang, Chao
    Su, Yunyun
    Liu, Chunling
    Qiu, Haoye
    Yu, Yanyan
    Su, Gaoxing
    Zhang, Qingchen
    Wei, Leyi
    Cui, Feifei
    Zou, Quan
    Zhang, Zilong
    RESEARCH, 2024, 7
  • [7] NEW JOINT PREDICTION ALGORITHM (Q7-JASEP) IMPROVES THE PREDICTION OF PROTEIN SECONDARY STRUCTURE
    VISWANADHAN, VN
    DENCKLA, B
    WEINSTEIN, JN
    BIOCHEMISTRY, 1991, 30 (46) : 11164 - 11172
  • [8] Machine Learning Improves Diagnosis of CNS Cancers
    Dolgin, Elie
    CANCER DISCOVERY, 2018, 8 (05) : 523 - 524
  • [9] Cross-protein transfer learning substantially improves disease variant prediction
    Milind Jagota
    Chengzhong Ye
    Carlos Albors
    Ruchir Rastogi
    Antoine Koehl
    Nilah Ioannidis
    Yun S. Song
    Genome Biology, 24
  • [10] Cross-protein transfer learning substantially improves disease variant prediction
    Jagota, Milind
    Ye, Chengzhong
    Albors, Carlos
    Rastogi, Ruchir
    Koehl, Antoine
    Ioannidis, Nilah
    Song, Yun S.
    GENOME BIOLOGY, 2023, 24 (01)
12345