bio-applied-deep-learning-for-biology

SKILLWorkflowcommunity
v0.0.0Pavel-KravchenkoUnknownUpdated 3mo agoSource →

Train PyTorch CNN/LSTM/Transformer/VAE on DNA/protein sequences: one-hot encoding, motif filters, saliency. Use when classifying sequences, predicting TF binding sites, denoising scRNA-seq, or choosing DL vs ML.

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
4Repo stars
1Clients
1Formats
3mo agoLast update
Skill
AuthorPavel-Kravchenko
Version0.0.0
LicenseUnknown
CategoryWorkflow
Formatsskill.md
PromptNot published
Compatibility
Claude✓ Supported
Cursor—
Copilot—
ChatGPT—
Gemini—
About

Train PyTorch CNN/LSTM/Transformer/VAE on DNA/protein sequences: one-hot encoding, motif filters, saliency. Use when classifying sequences, predicting TF binding sites, denoising scRNA-seq, or choosing DL vs ML.

Keywords
skillclaude

No dependency coverage

This entry publishes no npm package, so Forge has no dependency tree for it. That is a gap in coverage — not a statement that it has no dependencies.