Ariel A. Hippen

The paper tests AAV capsid variants in non-human primates to identify those with improved retrograde transport properties.

This study identifies molecular subtypes of high-grade serous ovarian cancer across racial groups and gene expression platforms, finding similar subtype-specific survival rates despite differences in subtype prevalence.

The paper uses deconvolution on bulk transcriptomic data to show that HGSOC subtypes are driven by tumor microenvironment composition, particularly fibroblast and immune cell content.

This study evaluates how experimental factors affect the performance of tumor deconvolution algorithms using bulk RNA-seq data.

wenda_gpu provides a fast domain adaptation method for genomic data using GPU acceleration, achieving comparable results to the original wenda while improving cancer mutation prediction on small datasets.

The paper evaluates genetic demultiplexing tools for pooled single-cell RNA-seq in cancer, showing they work effectively despite challenges from ambient RNA.

miQC is a probabilistic framework that jointly models mitochondrial DNA and gene detection metrics to improve single-cell RNA-seq quality control.

The paper analyzes disparities in recognition of computational biology researchers based on gender, name origin, country, and race/ethnicity.