Max Robinson

The paper introduces a method to standardize correlation coefficients across batches in multi-omic data, improving clustering and biological signal discovery by removing batch-specific biases.

The paper identifies a conserved Aβ amyloid 'responsome' in human and mouse AD brains, showing how amyloid scaffolds proteins involved in disease pathology.

The paper uses Fokker-Planck diffusion maps to analyze microglial transcriptomes, revealing substates associated with Alzheimer's pathology.

The paper evaluates seven versions of the 1000 Genomes Project genomes using genome fingerprinting, identifying quality issues and recommending best practices for dataset assessment.

The paper compares microglial transcriptomic responses to Aβ peptide aggregates ex vivo and in vivo, finding distinct responses and highlighting the limitations of using ex vivo models to predict in vivo behavior.

The paper shows that gut microbiome uniqueness increases with age and predicts survival in humans.

NormExpression evaluates normalization methods using AUCVC and mSCC metrics, showing consistency across bulk and scRNA-seq data, and provides an R package for method comparison.

SIGDA provides detailed, robust visualizations of human ancestry and population structure from genetic data, outperforming PCA in detecting population axes and relationships.

The paper introduces a fast hashing method for comparing semi-structured data, demonstrating its use on electronic health records for duplicate detection and clustering.

The paper introduces three new metrics to quantify bacterial genome composition skews and identifies outlier species with unusual skew patterns.

BDQC identifies data outliers and anomalies in large-scale genomic pipelines without domain knowledge, improving data quality and enabling new insights.

This paper introduces an ultra-fast method for comparing personal genomes using genome fingerprints, enabling efficient and privacy-preserving genome analyses.