Tagged statistics

Compute federated statistics and histograms across NVFLARE sites

Run TAO AutoML hyperparameter search with Bayesian, ASHA, BOHB or LLM methods

Choose statistical tests, run analyses and report results in APA format

Show vault statistics, graph metrics and growth as a shareable snapshot

Calculate polygenic risk scores from GWAS summary statistics with LDpred2

Find differential metabolites and build classifiers with PCA and PLS-DA

Compute N50, length distributions and GC content for sequence datasets

Compute Moran I, Geary C and co-occurrence statistics for spatial data

Summarize VCF quality, sample concordance and stats with bcftools

Review manuscripts and grants for methods, statistics, ethics and reporting

Run hypothesis tests, regression and power analysis with APA-style reporting

Fit OLS, GLM, logistic and ARIMA models with statsmodels diagnostics and AIC

Analyze ImageJ and CellProfiler measurements with statistics for cell counts

Compute treeness, parsimony sites and alignment statistics for phylogenetic trees

Build polygenic risk scores from GWAS summary statistics and interpret percentiles

Fit regression, Cox survival and mixed-effects models on biomedical datasets

Run binary or multiclass logistic regression and interpret the results

Run linear regression and explain which variables drive the outcome

Check blog statistics and claims against the cited sources they link to

Select predictive genes with elastic net logistic regression and cross-validation plots

Write publication-ready figure legends covering design, variables and statistics

Tabulate publication year and journal distributions across local papers offline

Draft the Methods section of a meta-analysis from search to statistics

Interpret meta-analysis forest plots and write statistical figure legends

Evaluate study design, statistics and bias to judge the strength of scientific claims

Compute diversity, ordination and statistics on FASTA, Newick and BIOM data

Make statistical plots like box, violin, pair plots and heatmaps with seaborn

Pick the right statistical test, check assumptions and report APA-style results

Recommend statistical methods such as t-test or ANOVA for a given study design

Draw publication-ready Kaplan-Meier survival curves with log-rank statistics

Fit regression, Cox and mixed-effects models with odds and hazard ratios

Debug hard issues with evidence gathering, hypothesis tests and root cause checks

Plan and check statistics for imaging studies: CIs, AUC, survival and sample size

Analyze PCAP network captures with Python and compute traffic statistics

Run statistical analysis, predictive models and data-driven business insights

Run observational epidemiology studies from PECO question to statistical report

Build and validate polygenic risk scores from GWAS summary statistics

Fit regression, ANOVA, Cox survival and chi-square models with odds ratios and p-values

Estimate with base rates, ranges and Bayesian updates on new evidence

Compute statistical power, sample size and minimum detectable effect for a design

Analyze datasets with statistical summaries, clear narratives and charts

Review prose against a checklist, with text statistics to back the notes

Design and analyze product experiments that avoid common statistical traps

Verify facts, statistics and links in content before it is published

Turn uncertain business choices into a Bayesian evidence-to-action report

Calculate identity, conservation and divergence statistics for sequence alignments

Compute BAM coverage and QC statistics with samtools flagstat, stats and mosdepth

Estimate genetic correlation between two traits from GWAS summary statistics

Fit structural equation models to GWAS summary statistics with GenomicSEM