Arvind Singh Mer

This paper reviews AI applications in histological analysis of preclinical respiratory disease models, finding high performance but gaps in validation, transparency, and standardization.

PharmacoDB 2.0 enhances pharmacogenomics analysis by integrating new datasets, implementing FAIR pipelines, and improving drug response analysis tools.

The paper introduces a cloud-based platform called ORCESTRA for reproducible processing and sharing of multimodal biomedical data in a FAIR manner.

This paper provides guidelines for developing machine learning models to predict drug sensitivity using cell line-based pharmacogenomics data, emphasizing proper training and validation practices.

The paper introduces KuLGaP, a selective measure to assess therapy response in patient-derived xenografts by comparing treatment and control arms, improving accuracy over existing methods.

The paper develops Xeva, an open-source tool for analyzing PDX pharmacogenomic data, finding that few genes and pathways show passage-specific changes.

The paper introduces MultiAssayExperiment, a Bioconductor package for integrating multi-omics data, demonstrating its use with TCGA datasets to simplify analysis and visualization.