Xin Wang

FFPERescuer uses deep learning to improve gene expression reconstruction from degraded FFPE samples, achieving high accuracy and enhancing cancer subtyping.

The paper develops 3DisoGalaxy to study alternative splicing in breast cancer, finding that many transcripts produce translation-supported proteins and that functional divergence is concentrated in specific regions.

This study develops a framework for predicting protein function and domain annotation at isoform resolution using structural and sequence data, showing strong performance in benchmark tests and capturing domain changes across isoforms.

CaMutQC is an R package that performs quality control and filtering of cancer somatic mutations, improving accuracy and comparability across studies.

This paper introduces a sequencing-free technique called Spectrum-FISH to profile post-transcriptional regulations in tissue sections with high throughput and spatial resolution, showing spatial heterogeneity in miRNAs and m6A-mRNAs in rodent olfactory bulb.

The paper identifies 60 high-confidence oncogenic lncRNAs in NSCLC using CRISPR deletion screens and ASO validation, revealing therapeutic vulnerabilities.

This study shows estrogen accelerates heart regeneration in zebrafish by enhancing inflammatory responses, which can be modulated by estrogen antagonists.