Hsueh‐Fen Juan

JuloVelo improves RNA velocity and cell fate prediction by incorporating gene kinetics patterns, outperforming existing methods across multiple differentiation programs.

This study uses spatial transcriptomics to reveal OXPHOS and EMT gradients in ovarian clear cell carcinoma, linking metabolic shifts and LCN2 expression to tumor heterogeneity and outcomes.

scDock connects scRNA-seq analysis with molecular docking to identify drug candidates targeting cell-cell communication.

The paper links airway microbiome dysbiosis to survival outcomes in severe COVID-19 and identifies potential therapeutic compounds that may modulate host gene expression to favor beneficial microbial signatures.

PGSbuilder provides a web platform for GWAS and PRS analysis, enabling medical professionals to assess genetic risk using variant annotations and multiple PRS methods.

The paper identifies cell states using super-enhancer RNA by analyzing FANTOM5 data with NMF, showing their association with developmental processes and cell type specification.

This paper introduces MHCfovea, a deep learning framework that connects HLA alleles with binding motifs, revealing critical polymorphic residues for antigen discovery and vaccine design.

This study identifies KIF5B and DRP1 as key factors in mitochondrial ATP synthase trafficking to the cell surface via microtubules in cancer cells.

The paper uses small RNA sequencing data from The Cancer Genome Atlas to analyze the cancer-associated microbiome in colorectal samples, identifying microbial genera linked to cancer stages.