BOMV Model Results: 500 Parameter Combinations for Virus Binding Strength

BOMV Model Results contain outputs from a computational model evaluating Bat Orthoreovirus (BOMV) binding strength to the bat NPC1 receptor. The dataset includes results for 500 sets of parameter combinations, evaluation metrics for 100 bootstrap iterations, and SHAP values for variable importance. It was authored by Adrian Castellanos and last updated on May 20, 2026.

Use Cases

• Comparing model performance across 500 parameter combinations to identify optimal settings.
• Assessing model robustness and uncertainty using the 100 bootstrap iterations.
• Interpreting feature importance for virus binding predictions via the provided SHAP values.

Strengths

• Includes results from 500 distinct parameter combinations, allowing for systematic model tuning.
• Provides 100 bootstrap iterations for the chosen parameter set, enabling uncertainty quantification.
• Contains SHAP values for 100 iterations, facilitating model interpretability.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

Adrian Castellanos via figshare

Collection Method

Results from a computational model evaluating virus binding.

Freshness

Last updated 2026-05-20 13:36:54; freshness should be verified.