Frontiers | Machine Learning in Systems Quantitative Biology

Machine Learning in Systems Quantitative Biology

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ORIGINAL RESEARCH

Published on 09 Jan 2023

Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning

Ziyu Tao
Yan Mao
Yifang Hu
Xinfang Tang
Jimei Wang
Ni Zeng
Yunlei Bao
Fei Luo
Chuyan Wu
Feng Jiang

Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning

doi 10.3389/fphys.2022.1084650

1,713 views
4 citations

ORIGINAL RESEARCH

Published on 04 Mar 2022

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

Xindi Wu
Chengkun Li
Xiangrui Zeng
Haocheng Wei
Hong-Wen Deng
Jing Zhang
Min Xu

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

doi 10.3389/fphys.2022.760404

3,410 views
3 citations

CORRECTION

Published on 24 Jan 2022

Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Martina Milighetti
John Shawe-Taylor
Benny Chain

doi 10.3389/fphys.2021.790998

798 views
2 citations

ORIGINAL RESEARCH

Published on 08 Sep 2021

Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Martina Milighetti
John Shawe-Taylor
Benny Chain

Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

doi 10.3389/fphys.2021.730908

12,743 views
17 citations

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