Mi K. Trinh

The paper identifies TP53 and RB1 wild-type status as predictors of cytarabine sensitivity in gliomas using CRISPRi screening and machine learning analysis.

This study uses duplex sequencing to analyze platinum chemotherapy-induced mutagenesis in pediatric tissues, revealing extensive mutational signatures and tissue-specific effects.

The paper examines the transcriptional evolution of myeloid leukaemia in Down syndrome by analyzing single-cell RNA sequencing data from patient samples and fetal tissues.

This study creates a developmental cell atlas of the human thyroid gland using single-cell sequencing, revealing cell type heterogeneity and its implications in thyroid disorders and cancer.

The paper identifies cancer cells from single cell transcriptomes by using allelic imbalances to accurately separate cancer from non-cancer cells.

This study identifies 114 genome-wide significant rare CNV-disease associations across 30 neurological disorders, revealing 38 novel triplosensitive genes and developing a model to predict dosage sensitivity.