Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels-Reference-Cited by-同舟云学术

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Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels

Published:2013 Issue:4 Volume:9 Page:407
ISSN:1744-5485
Container-title:International Journal of Bioinformatics Research and Applications
language:en
Short-container-title:IJBRA

Author:

Berlo Rogier J.P. Van,Winterbach Wynand,Groot Marco J.L. De,Bender Andreas,Verheijen Peter J.T.,Reinders Marcel J.T.,Ridder Dick De

Publisher

Inderscience Publishers

Subject

Health Information Management,Clinical Biochemistry,Health Informatics,Biomedical Engineering

Cited by 14 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. On the application of population-based structural health monitoring in aerospace engineering;Frontiers in Robotics and AI;2022-11-15

2. Eigenvector centrality based algorithm for finding a maximal common connected vertex induced molecular substructure of two chemical graphs;Journal of Molecular Structure;2021-11

3. A New QUBO Objective Function for Solving the Maximum Common Subgraph Isomorphism Problem Via Quantum Annealing;SN Computer Science;2021-03-31

4. Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities;Mechanical Systems and Signal Processing;2021-02

5. Metagraph-Based Learning on Heterogeneous Graphs;IEEE Transactions on Knowledge and Data Engineering;2021-01-01

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