A multi-threaded approach to genotype pattern mining for detecting digenic disease genes. [PDF]
Front Genet, 2023 Zhang Q, Bhatia M, Park T, Ott J.
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Progression to myocardial infarction short-term death based on interval sequential pattern mining. [PDF]
BMC Cardiovasc Disord, 2023 Wu YS +4 more
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, 2009 This paper presents a concise overview of a research project dedicated to Motivic Pattern Mining, i.e., the automatic discovery of motives within pieces of music through a search for repetitions in score representations.
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A Comparative Study of Frequent Pattern Mining with Trajectory Data. [PDF]
Sensors (Basel), 2022 Ding S, Li Z, Zhang K, Mao F.
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Applied SciencesUsing graphs as a data structure is a simple way to represent relationships between objects. Consequently, it has raised the need for algorithms to process, analyze, and extract meaningful information from graphs. Therefore, frequent subgraph mining (FSM)
Daybelis Jaramillo-Olivares +2 more
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Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data. [PDF]
J Mol Biol, 2023 Kim HH, Uddin MR, Xu M, Chang YW.
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NetNMSP: Nonoverlapping maximal sequential pattern mining. [PDF]
Appl Intell (Dordr), 2022 Li Y, Zhang S, Guo L, Liu J, Wu Y, Wu X.
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Microbiome-based enrichment pattern mining has enabled a deeper understanding of the biome-species-function relationship. [PDF]
Commun Biol, 2023 Yang P, Zhu X, Ning K.
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Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining. [PDF]
Entropy (Basel), 2023 Fan L, Zhang J, Mao W, Cao F.
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High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering. [PDF]
Proc Natl Acad Sci U S A, 2023 Zeng X +5 more
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