62 citations · 82 across the 4 of their papers we have counts for
4 papers
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction
Jiawen Liu, Xuechenxiao Cao, Yutong Li +5
Predicting transcriptome-wide responses to unseen genetic perturbations remains a major computational challenge because accurate prediction requires recovering both perturbation-sp…
CHM-Net: Center Heatmap-driven Macro-Micro Modeling Network for MRI-based Microbial Density Stratification
Jiaming Liang, Haolin Chen, Tingting Li +7
Microbial density is clinically important for tumor assessment and treatment decision-making, and recent advances in deep learning suggest that it can be non-invasively inferred fr…
Predicting drug response of tumors from integrated genomic profiles by deep neural networks
Yu-Chiao Chiu, Hung-I Harry Chen, Tinghe Zhang +5
The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has provided unprecedented insights into the oncogenic features modulating drug response. A recent s…
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
Hung-I Harry Chen, Yu-Chiao Chiu, Tinghe Zhang +3
Bioinformatics tools have been developed to interpret gene expression data at the gene set level, and these gene set based analyses improve the biologists' capability to discover f…