Výsledky vyhledávání - graph algorithms in informatics

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    Graph representation learning in bioinformatics: trends, methods and applications Autor Yi, Hai-Cheng, You, Zhu-Hong, Huang, De-Shuang, Kwoh, Chee Keong

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Vydáno: England Oxford University Press 17.01.2022
    Vydáno v Briefings in bioinformatics (17.01.2022)
    “… Ubiquitous real-life biomedical problems can be modeled as graph analytics tasks. Machine learning, especially deep learning, succeeds in vast bioinformatics scenarios with data represented in Euclidean domain…”
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    Fitchi: haplotype genealogy graphs based on the Fitch algorithm Autor Matschiner, Michael

    ISSN: 1367-4803, 1367-4811, 1460-2059
    Vydáno: England 15.04.2016
    Vydáno v Bioinformatics (15.04.2016)
    “… I here present Fitchi, a new program that produces publication-ready haplotype genealogy graphs based on the Fitch algorithm…”
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    Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms Autor Niu, Haoran, Omitaomu, Olufemi A., Langston, Michael A., Grady, Stephen K., Olama, Mohammed, Ozmen, Ozgur, Klasky, Hilda B., Laurio, Angela, Ward, Merry, Nebeker, Jonathan

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Vydáno: United States IEEE 01.05.2025
    “…In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to make informed decisions regarding their patients in various…”
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    Risk stratification and pathway analysis based on graph neural network and interpretable algorithm Autor Liang, Bilin, Gong, Haifan, Lu, Lu, Xu, Jie

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 27.09.2022
    Vydáno v BMC bioinformatics (27.09.2022)
    “… Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but these models have not fully considered the topological features of pathways, which limits…”
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    GCphase: an SNP phasing method using a graph partition and error correction algorithm Autor Luo, Junwei, Wang, Jiayi, Zhai, Haixia, Wang, Junfeng

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 19.08.2024
    Vydáno v BMC bioinformatics (19.08.2024)
    “… Results In this study, we present a graph-based algorithm, GCphase, which utilizes the minimum cut algorithm to perform phasing…”
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    WGT: Tools and algorithms for recognizing, visualizing, and generating Wheeler graphs Autor Chao, Kuan-Hao, Chen, Pei-Wei, Seshia, Sanjit A., Langmead, Ben

    ISSN: 2589-0042, 2589-0042
    Vydáno: United States Elsevier Inc 18.08.2023
    Vydáno v iScience (18.08.2023)
    “…A Wheeler graph represents a collection of strings in a way that is particularly easy to index and query…”
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    A Novel Adaptive Sliding Observation-Based Cooperative Positioning Algorithm Under Factor Graph Framework for Multiple UUVs Autor Wang, Qingxin, Fan, Shiwei, Zhang, Ya, Gao, Wei, Wei, Jianxiong, Wang, Yanyan

    ISSN: 1551-3203, 1941-0050
    Vydáno: Piscataway IEEE 01.08.2023
    “… Herein, we propose a novel adaptive sliding observation-based cooperative positioning algorithm under the factor graph framework…”
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    Graph classification algorithm based on graph structure embedding Autor Ma, Tinghuai, Pan, Qian, Wang, Hongmei, Shao, Wenye, Tian, Yuan, Al-Nabhan, Najla

    ISSN: 0957-4174, 1873-6793
    Vydáno: New York Elsevier Ltd 15.12.2020
    Vydáno v Expert systems with applications (15.12.2020)
    “…•Proposed a graph classification algorithm based on graph embedding. With the application of data mining in many fields such as information science, bioinformatic…”
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    TwoPaCo: an efficient algorithm to build the compacted de Bruijn graph from many complete genomes Autor Minkin, Ilia, Pham, Son, Medvedev, Paul

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England 15.12.2017
    Vydáno v Bioinformatics (Oxford, England) (15.12.2017)
    “…). In this article, we present TwoPaCo, a simple and scalable low memory algorithm for the direct construction of the compacted de Bruijn graph from a set of complete genomes…”
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    METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs Autor Zhang, Zhenmiao, Zhang, Lu

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 22.07.2021
    Vydáno v BMC bioinformatics (22.07.2021)
    “…), where the linked contigs have high chance to be derived from the same clusters. Results We developed METAMVGL, a multi-view graph-based metagenomic contig binning algorithm by integrating both assembly and PE graphs…”
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    Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations Autor Luo, Yuan, Uzuner, Özlem, Szolovits, Peter

    ISSN: 1467-5463, 1477-4054
    Vydáno: England Oxford University Press 01.01.2017
    Vydáno v Briefings in bioinformatics (01.01.2017)
    “… Significant progress has been made in algorithm development and resource construction. In particular, graph-based approaches bridge semantics and syntax, often achieving the best performance in shared…”
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    Recycler: an algorithm for detecting plasmids from de novo assembly graphs Autor Rozov, Roye, Brown Kav, Aya, Bogumil, David, Shterzer, Naama, Halperin, Eran, Mizrahi, Itzhak, Shamir, Ron

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England Oxford University Press 15.02.2017
    Vydáno v Bioinformatics (Oxford, England) (15.02.2017)
    “… Here, we attempt to ameliorate this situation by introducing a new circular element assembly algorithm, leveraging assembly graphs provided by a conventional de novo assembler and alignments…”
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    A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development Autor Li, Linfeng, Wang, Peng, Wang, Yao, Wang, Shenghui, Yan, Jun, Jiang, Jinpeng, Tang, Buzhou, Wang, Chengliang, Liu, Yuting

    ISSN: 2291-9694, 2291-9694
    Vydáno: Canada JMIR Publications 21.05.2020
    Vydáno v JMIR medical informatics (21.05.2020)
    “… Several translation-based algorithms, including TransE, TransH, TransR, TransD, and TranSparse, have been proposed to learn effective embedding vectors from typical knowledge graphs in which the…”
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    Essential proteins in cancer networks: a graph-based perspective using Dijkstra’s algorithm Autor Rout, Trilochan, Mohapatra, Anjali, Kar, Madhabananda, Muduly, Dillip Kumar

    ISSN: 2192-6670, 2192-6662, 2192-6670
    Vydáno: Vienna Springer Vienna 19.08.2024
    “… This study introduces a novel graph-based approach to identify essential cancer proteins within PPI networks, focusing on breast, lung, colorectal, and ovarian cancers…”
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    BOSS: a novel scaffolding algorithm based on an optimized scaffold graph Autor Luo, Junwei, Wang, Jianxin, Zhang, Zhen, Li, Min, Wu, Fang-Xiang

    ISSN: 1367-4803, 1367-4811, 1367-4811
    Vydáno: England 15.01.2017
    Vydáno v Bioinformatics (Oxford, England) (15.01.2017)
    “… Most existing scaffolding tools adopt scaffold graph approaches. However, due to repetitive regions in genome, sequencing errors and uneven sequencing depth, constructing an accurate scaffold graph is still a challenge task…”
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    A graph-based algorithm for detecting rigid domains in protein structures Autor Dang, Truong Khanh Linh, Nguyen, Thach, Habeck, Michael, Gültas, Mehmet, Waack, Stephan

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 12.02.2021
    Vydáno v BMC bioinformatics (12.02.2021)
    “… Graph clustering algorithms allow us to reduce the graph and run the Viterbi algorithm…”
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    Tree diet: reducing the treewidth to unlock FPT algorithms in RNA bioinformatics Autor Marchand, Bertrand, Ponty, Yann, Bulteau, Laurent

    ISSN: 1748-7188, 1748-7188
    Vydáno: London BioMed Central 02.04.2022
    Vydáno v Algorithms for molecular biology (02.04.2022)
    “…Hard graph problems are ubiquitous in Bioinformatics, inspiring the design of specialized Fixed-Parameter Tractable algorithms, many of which rely on a combination of tree-decomposition and dynamic programming…”
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    Biological network analysis with deep learning Autor Muzio, Giulia, O’Bray, Leslie, Borgwardt, Karsten

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Vydáno: England Oxford University Press 22.03.2021
    Vydáno v Briefings in bioinformatics (22.03.2021)
    “… One major trend in the field is to use deep learning for this goal and, more specifically, to use methods that work with networks, the so-called graph neural networks (GNNs…”
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