Akash J. Patel

NF2 Loss-of-Function and Hypoxia Drive Radiation Resistance in Grade 2 Meningiomas

This study identifies NF2 loss-of-function and hypoxia as drivers of radiation resistance in Grade 2 meningiomas through genetic, histopathological, and transcriptional analyses.

Cell type transcriptional identities are maintained in cultured ex vivo human brain tissue

The paper evaluates the transcriptional stability of cell types in ex vivo human brain tissue cultures over 14 days using single-nucleus RNA sequencing.

Analysis of gliomas DNA methylation: Assessment of pre-analytical variables.

This study assesses how pre-analytical variables affect DNA methylation analysis of the MGMT promoter in gliomas, finding that most variations do not significantly impact results but intratumor heterogeneity is prevalent.

Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data

This study develops CLIPPR, an algorithm that integrates single-cell and bulk RNA-seq data to improve meningioma classification and resolve benign-malignant confusion.

Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.

XCVATR: Detection and Characterization of Variant Impact on the Embeddings of Single -Cell and Bulk RNA-Sequencing Samples

XCVATR identifies and characterizes variant impact on embeddings of single-cell and bulk RNA-seq samples by detecting local variant enrichment in embedding space.

scRegulocity: Detection of local RNA velocity patterns in embeddings of single cell RNA-Seq data

scRegulocity detects local RNA velocity patterns in single-cell RNA-seq embeddings to identify regulatory changes and cell state transitions.