Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" by Pengfei Wu (11627371)

“…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”

Performance as a function of the number of algorithm executions for the full-sized matrix design. by Jörg Felder (5848541)

“…<p>Performance as a function of the number of algorithm executions for the full-sized matrix design.…”

Distribution of cases and controls in the nine clusters. by Ka Wo Wong (18625847)

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Number of samples carrying the nine high risk SNPs in each cluster. by Ka Wo Wong (18625847)

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Distribution of samples carrying the risk alleles identified previously. by Ka Wo Wong (18625847)

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Logistic regression of disease states on haplotypes constructed from 56 variants that passed p-value threshold in the meta-analysis, with age and sex as covariates. by Ka Wo Wong (18625847)

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Characteristics of 507 samples included in the current meta-analysis. by Ka Wo Wong (18625847)

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Variants that passed the permuted p-value cut-off in the meta-analysis of GWAS. by Ka Wo Wong (18625847)

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Summary statistics for sequencing and variant calling for 507 samples. by Ka Wo Wong (18625847)

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Number of samples in each cluster carrying the 9 SNPs shared by the high-risk lineage only. by Ka Wo Wong (18625847)

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Genotypes of 38 SNPs that characterized the high-risk EBV lineage. by Ka Wo Wong (18625847)

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Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …”

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

Pyrho Validation - Check re-gridded periodic data by Jimmy Shen (12664675)

Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”