Congcong Hu

Spider generates synthetic spatial transcriptomics data by simulating cell type proportions and transitions, enabling benchmarking of analysis tools.

STCC improves spatial domain detection in spatial transcriptomics by combining multiple clustering tools through consensus strategies, enhancing accuracy and stability across different data types.

The paper introduces BendNet, a neural network that predicts DNA bending at base-resolution from sequences, revealing stiffness patterns and TF binding preferences in the human genome.