jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology-Reference-Cited by-同舟云学术

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jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology

Published:2014-07 Issue: Volume:306 Page:5-18
ISSN:1571-0661
Container-title:Electronic Notes in Theoretical Computer Science
language:en
Short-container-title:Electronic Notes in Theoretical Computer Science

Author:

Binchi Jacopo,Merelli Emanuela,Rucco Matteo,Petri Giovanni,Vaccarino Francesco

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference15 articles.

1. Graph theory with applications, vol. 6;Bondy,1976

2. Topology and data;Carlsson;Bulletin of the American Mathematical Society,2009

3. Topology of viral evolution;Chan;Proceedings of the National Academy of Sciences,2013

4. Dualities in persistent (co) homology;De Silva;Inverse Problems,2011

5. Development of Innovative Drugs via Modeling with MATLAB;Gieschke,2013

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1. Quantum persistent homology;Journal of Applied and Computational Topology;2024-01-31

2. Persistent Homology for RNA Data Analysis;Methods in Molecular Biology;2023

3. Biomolecular Topology: Modelling and Analysis;Acta Mathematica Sinica, English Series;2022-10

4. Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud;Journal of the Physical Society of Japan;2022-09-15

5. Persistent-homology-based machine learning: a survey and a comparative study;Artificial Intelligence Review;2022-02-19

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