Guofeng Meng

The paper identifies regulatory degeneration in Alzheimer's disease using RNA-seq data and suggests HDAC1 as a potential drug target.

The paper constructs a single-cell atlas of hematopoiesis and leukemogenesis, identifies leukemia subpopulations, and develops a composite index to predict clinical outcomes.

This paper uses module analysis of single-patient differential expression signatures to identify AD risk loci in a small cohort, finding more risk loci than using all patients.

This study identifies accumulated transcriptional regulation degeneration as a key contributor to Alzheimer's disease progression and clinical outcomes.

TSD is a tool for discovering complex structural variants using PacBio targeted sequencing data, showing better performance than other tools in detecting complex genomic structural variants.

TransgeneR is an R tool for identifying transgene integration and rearrangements using sequencing data, validated on simulated and human tau transgene mouse genomes.

This paper introduces a method to predict patient-specific functional mutations by integrating mutation recurrence with expression profile similarity across cancer types.

This study identifies a core network of 97 dysregulated genes associated with Alzheimer’s disease by analyzing transcriptional changes and their functional implications.