Mechanism-aware and multimodal AI: beyond model-agnostic interpretation-Reference-Cited by-同舟云学术

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Mechanism-aware and multimodal AI: beyond model-agnostic interpretation

Published:2024-02 Issue:2 Volume:34 Page:85-89
ISSN:0962-8924
Container-title:Trends in Cell Biology
language:en
Short-container-title:Trends in Cell Biology

Author:

Occhipinti Annalisa,Verma Suraj,Doan Le Minh Thao,Angione Claudio^ORCID

Publisher

Elsevier BV

Subject

Cell Biology

Reference14 articles.

1. Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy;Zhang;Semin. Cancer Biol.,2023

2. Multimodal data fusion for cancer biomarker discovery with deep learning;Steyaert;Nat. Mach. Intell.,2023

3. Machine and deep learning meet genome-scale metabolic optimization;Zampieri;PLoS Comput. Biol.,2019

4. A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth;Culley;Proc. Natl. Acad. Sci. U. S. A.,2020

5. Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine;Heinken;Nat. Biotechnol.,2023

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mini-review on perturbation modelling across single-cell omic modalities;Computational and Structural Biotechnology Journal;2024-12

2. Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients;Cell Reports Methods;2024-07

3. Emerging methods for genome-scale metabolic modeling of microbial communities;Trends in Endocrinology & Metabolism;2024-06

4. BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks;2024-02-08

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