Aaron J. Clauset

Cross-assay RNA modeling reveals cancer biomarkers

This paper integrates multiple transcriptomics assays to identify cancer biomarkers, finding GBP4 as a predictor of recurrence and immune remodeling.

On the predictability of progression-free survival in ovarian cancer from NanoString gene expression data

This study investigates the predictability of progression-free survival in ovarian cancer using NanoString gene expression data from pre- and post-chemotherapy samples, finding low predictability and suggesting the need for larger datasets.

Predicting missing links in food webs using stacked models and species traits

The paper develops a stacked model to predict missing links in food webs using species traits and network structure, showing high accuracy on synthetic and real-world data.

Understanding and addressing under-sampling in plant-pollinator networks using stacked models for missing link prediction

This paper introduces a stacked model to predict missing links in under-sampled plant-pollinator networks using species traits and network topology, showing it can reconstruct networks and identify important features.

STIX: Long-reads based Accurate Structural Variation Annotation at Population Scale

STIX annotates structural variants using long-read data, achieving high accuracy and identifying common SVs in population-scale datasets.

Optimizing Polymerase Chain Reaction (PCR) using Machine Learning

This study uses machine learning to improve PCR success rates, achieving 81% prediction accuracy and identifying 15 under-optimized features.

Denoising large-scale biological data using network filters

This paper introduces network filters to reduce noise in large-scale biological data, improving accuracy in predicting protein expression changes in human tissues.