A mini-review on perturbation modelling across single-cell omic modalities-Reference-Cited by-同舟云学术

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A mini-review on perturbation modelling across single-cell omic modalities

Published:2024-12 Issue: Volume:23 Page:1886-1896
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Gavriilidis George I.,Vasileiou Vasileios,Orfanou Aspasia,Ishaque Naveed,Psomopoulos Fotis

Funder

Horizon 2020

Federal Ministry of Education and Research Berlin Office

Publisher

Elsevier BV

Reference85 articles.

1. Machine learning for perturbational single-cell omics;Ji;Cell Syst,2021

2. A next generation connectivity map: L1000 platform and the first 1,000,000 profiles;Subramanian;Cell,2017

3. DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery;Ye;Nat Commun,2018

4. Machine learning for perturbational single-cell omics;Ji;Cell Syst,2021

5. Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning;Kropiwnicki;Database,2021

Cited by 2 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. Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas;Cell;2024-08

2. Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases;2024-07-29

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