A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks-Reference-Cited by-同舟云学术

A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks

Published:2014-07 Issue: Volume:272 Page:1-15
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Lopes Fabrício M.,Martins David C.,Barrera Junior,Cesar Roberto M.

Funder

FAPESP

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference71 articles.

1. Scale-free networks in cell biology;Albert;J. Cell Sci.,2005

2. The topology of the regulatory interactions predicts the expression pattern of the segment polarity genes in Drosophila melanogaster;Albert;J. Theor. Biol.,2003

3. Heuristic approach to sparse approximation of gene regulatory networks;Andrecut;J. Comput. Biol.,2008

4. Emergence of scaling in random networks;Barabási;Science,1999

5. Constructing probabilistic genetic networks of Plasmodium falciparum, from dynamical expression signals of the intraerythrocytic development cycle;Barrera,2007

Cited by 39 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. Reconstruction of gene regulatory networks for Caenorhabditis elegans using tree-shaped gene expression data;Briefings in Bioinformatics;2024-07-25

2. Topological benchmarking of algorithms to infer gene regulatory networks from single-cell RNA-seq data;Bioinformatics;2024-04-16

3. Gene Networks Inference by Reinforcement Learning;Advances in Bioinformatics and Computational Biology;2023

4. A Power Law Semantic Similarity from Gene Ontology;Advances in Bioinformatics and Computational Biology;2023

5. Biological Sequence Analysis Using Complex Networks and Entropy Maximization: A Case Study in SARS-CoV-2;Smart Innovation, Systems and Technologies;2022-11-23