Jinting Guan

VQ-Transformer: A deep learning-driven model for transcription factor sequence identification

Background Transcription factors are key proteins that regulate gene expression, and their accurate identification is important for elucidating the mechanisms of life activities. Traditional methods for identifying transcription factor sequences rely on manually designed features...

stDSVA: spatial transcriptomics deconvolution with a semi-supervised framework and cell type variation analysis

Spatial transcriptomics (ST) integrates transcriptomic profiling with tissue architecture, enabling the investigation of spatial heterogeneity in gene expression within intact tissues. However, due to the limited resolution of many current ST platforms, computational deconvolutio...