Tag: single-cell RNA-seq

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...

A new calibration framework shows that common benchmarking metrics masked real perturbation-specific signal, and that deep learning models can outperform ...

Researchers in Hong Kong and Japan have developed an integer programming method that constrains single-cell trajectory trees to binary branching, ...

A new benchmark of pathway activity scoring methods in single-cell RNA-seq reveals that top-rank-window tools like AUCell and UCell can ...

A new unsupervised deep learning framework called SaDGAE uses a self-adaptive cell graph and a doubly enhanced graph autoencoder to ...

A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...

A new Bayesian framework called MANTRA jointly analyzes three-dimensional drug-response data and two-dimensional gene expression matrices, revealing clinically relevant leukemia ...

Researchers at Genentech have developed Fishash, a fast Fisher's Exact Test-based method that improves the accuracy and speed of assigning ...