Dual data and motif clustering improves the modeling and interpretation of phosphoproteomic data-Reference-Cited by-同舟云学术

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Dual data and motif clustering improves the modeling and interpretation of phosphoproteomic data

Published:2022-02 Issue:2 Volume:2 Page:100167
ISSN:2667-2375
Container-title:Cell Reports Methods
language:en
Short-container-title:Cell Reports Methods

Author:

Creixell Marc,Meyer Aaron S.^ORCID

Publisher

Elsevier BV

Subject

General Medicine

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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. Dissecting signaling regulators driving AXL-mediated bypass resistance and associated phenotypes by phosphosite perturbations;2023-10-23

2. Phosphoproteomics data-driven signalling network inference: Does it work?;Computational and Structural Biotechnology Journal;2023

3. Phosphoproteomics data-driven signalling network inference: does it work?;2022-09-08

4. Computational systems approach towards phosphoproteomics and their downstream regulation;PROTEOMICS;2022-05-31

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