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

Complex traffic line and track point diagram. حسب Mingkang Sun (6498791)

Complex traffic line and track point diagram. حسب Mingkang Sun (6498791)

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

The losses of the training process before and after the optimization of loss function. حسب Peihan Wen (6324315)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

Performance comparison of neural UCB strategies based on the basal ganglia model against other UCB algorithms in different bandit tasks. حسب Yuhao Wang (196321)

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

Effect of “nonfunctional group” on function. حسب Yuanchen Zhao (12905580)

Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species. حسب Yuanchen Zhao (12905580)

Spectrum of singular values of the normal matrix . حسب Stefano van Gogh (13569844)

Precision Recall AUC values for different synthetic datasets and top-ranked models <i>M</i>*. حسب Simeone Marino (81051)

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes حسب Yu Y. (3096192)

"…We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …"

Cluster survival results. حسب Teemu J. Rintala (19333003)

Cluster survival results with different pathway sets. حسب Teemu J. Rintala (19333003)

Multi-objective clustering result evaluation. حسب Teemu J. Rintala (19333003)

Stability of cancer clustering results. حسب Teemu J. Rintala (19333003)

Size of the smallest cluster. حسب Teemu J. Rintala (19333003)