Decision-grade enzyme/protein mutation design for thermostability with bioactivity-preserving constraints enforced by default, plus structure-aware and consensus-ranking workflows.
Create or update repository skills that conform to local templates, provider metadata requirements, registry rules, and validation workflows.
Assess data quality by reporting missing values, outliers, sample size, and variance structure for each variable in a table.
Estimate model parameters using Bayesian inference (MCMC via Stan or PyMC), returning posterior distributions and credible intervals.
Cluster samples or features using k-means or hierarchical clustering, evaluate cluster quality with silhouette scores, and produce a dendrogram or cluster plot.
Compare a continuous variable between two groups with automatic selection of t-test, Welch test, or Mann-Whitney U test based on data properties.
Fit a generalized linear model (Poisson, Binomial, or Gaussian family) for count or non-normally distributed outcome data.
Fit a linear regression model, report coefficients and model fit, and generate residual diagnostic plots.