Release v1.0.0-rc.6 Pre-release#

CORNETO 1.0.0 RC6 adds causal structure discovery from perturbation data and extends reusable signaling-model workflows.

Highlights#

Added LinearDAGDiscovery for sparse, acyclic linear causal models constrained by a directed prior-knowledge network. It supports hard and shift interventions, model fitting, prediction, evaluation, and residual diagnostics.
Extended CellNOptDAG with a reusable prediction and evaluation lifecycle and expanded its multi-condition workflow and documentation.
Added a dataset catalog and fetch helpers, with a versioned Sachs signaling dataset and tutorial for linear causal discovery.
Updated the AnnNet interoperability examples and bridge for the current node API, and refined shared sparse-flow and backend support used by other methods.

This release adds public causal-model and dataset APIs. The AnnNet integration and examples target the node API introduced in PR #60.