SpliceAI

DeepSEA — deep learning framework for predicting chromatin effects of sequence alterations at single-nucleotide resolution. Trains convolutional neural networks on 919 chromatin features (TF binding,

2 shared topics • 1 shared operation

Use when working with DeepSTARR — a deep learning CNN model for predicting enhancer activity from DNA sequence using STARR-seq training data. Covers sequence-to-activity prediction for developmental (

2 shared topics • 1 shared operation

GNNExplainer explains predictions made by graph neural networks by learning sparse masks over subgraph structure and node features. Use for post-hoc GNN interpretability, identifying important edges a

2 shared topics • 1 shared operation

Use when working with PyG (PyTorch Geometric) — the PyTorch-based library for deep learning on graphs and irregular data structures. Supports graph neural networks (GNNs) including GCN, GAT, GraphSAGE

2 shared topics • 1 shared operation

Cellpose — generalist deep learning algorithm for cellular and nuclear segmentation in microscopy images. Provides GPU-accelerated 2D and 3D instance segmentation using gradient flow representations,

2 shared topics