Humaira Noor

This study analyzes a diverse glioma cohort to show ancestry influences on survival, somatic alterations, and mutational processes in diffuse gliomas.

The paper introduces Moonlight2, an updated framework that integrates transcriptomic and epigenomic data to identify cancer driver genes, finding 33, 190, and 263 epigenetically driven genes in three cancer subtypes.

The paper investigates the role of AIMP proteins in glioma angiogenesis and their predictive value for anti-angiogenic therapy response using multi-omics and single-cell data.

This paper introduces SEQUOIA, a transformer model that predicts cancer transcriptomes from histology images, achieving high accuracy in predicting gene expression and recurrence risk in breast cancer.