Wikum Dinalankara

Transcriptome sequencing of Hodgkin lymphoma Hodgkin and Reed-Sternberg cells reveals escape from NK cell recognition and an unfolded protein response

This study identifies unique transcriptional features of Hodgkin lymphoma HRS cells, including immune evasion mechanisms and an unfolded protein response, distinguishing them from other B-cell lymphomas.

Using Biological Constraints to Improve Prediction in Precision Oncology

The paper develops mechanistic classifiers using biological constraints to improve the robustness and interpretability of gene signatures in cancer prediction.

Efficient Representations of Tumor Diversity with Paired DNA-RNA Aberrations

The paper introduces a method to represent tumor diversity using paired DNA-RNA aberrations, identifies minimal coverings of aberrant gene pairs, and quantifies heterogeneity through entropy measures across cancer types.

An R Package for Divergence Analysis of Omics Data

The paper introduces an R package for divergence analysis of omics data, demonstrating its use with Cancer Genome Atlas data.

Recounting the FANTOM Cage Associated Transcriptome

The paper presents FC-R2, an expanded transcriptome atlas of over 109,000 genes, including lncRNAs, and demonstrates its utility in analyzing gene expression across normal and diseased human samples.