Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Morphisms of group objects that satisfy the existence of a right inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

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Morphisms of group objects that satisfy the existence of a left inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

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Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

In a general category with finite products, morphisms of group objects that satisfy the existence of an identity element form a commutative diagram. by Jian-Gang Tang (21594349)

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Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

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In a general category with finite products, the morphisms of group objects that satisfy the existence of a left identity element form a commutative diagram. by Jian-Gang Tang (21594349)

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In a general category with finite products, the morphisms of group objects that satisfy the existence of a right identity element form a commutative diagram. by Jian-Gang Tang (21594349)

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Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Table 1_Decoding neutrophil extracellular traps and key gene drivers in unexplained pregnancy loss.docx by Hui Ding (308976)

Simulation Scripts And Data. by Yuanchen Zhao (12905580)

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Grouping of Bearing Data. by Yu Jie Guang (22184340)

Silhouette scores for each clustering algorithm. by Zoïe W. Alexiou (21989297)

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…The mixture is framed in a Bayesian nonparametric setting, and a transdimensional blocked Gibbs sampler is developed to provide full Bayesian inference on the number of clusters, their structure, and the group-specific parameters, facilitating the computation with respect to customary reversible jump algorithms. …”

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

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Example 2-group, 3-group and 4-group groupings under a 3-group ground truth with their scores shown on the right. by Yuanchen Zhao (12905580)

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