PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery-Reference-Cited by-同舟云学术

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PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Luca Riccardo De¹,Carfora Marco¹,Blanco Gonzalo¹,Mastropietro Andrea²,Petti Manuela²,Tieri Paolo³

Affiliation:

1. Sapienza University of Rome,Data Science Program,Rome,Italy

2. Sapienza University of Rome,DIAG Dept. Comp. Contr. Manag. Eng.,Rome,Italy

3. IAC Institute for Applied Computing,CNR National Research Council,Rome,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995586.pdf?arnumber=9995586

Reference19 articles.

1. Random walk with restart on multiplex and heterogeneous biological networks

2. Walking the Interactome for Prioritization of Candidate Disease Genes

3. ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

4. DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders

5. SigMod: an exact and efficient method to identify a strongly interconnected disease-associated module in a gene network

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. Network Inference and Reconstruction in Bioinformatics;Reference Module in Life Sciences;2024

2. XGDAG: explainable gene–disease associations via graph neural networks;Bioinformatics;2023-08-01

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