Christopher Blair Douville

Integrated Spatial Analysis of Ovarian Precancerous Lesions

The paper identifies four subtypes of ovarian precancerous lesions and links them to genetic and molecular features associated with cancer progression.

Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics

This paper introduces a new statistic called discriminability to improve replicability by distinguishing accidental from systematic deviations in data, showing its effectiveness in both simulated and real datasets.

CRAVAT 4: Cancer-Related Analysis of Variants Toolkit

CRAVAT 4 provides tools for analyzing and interpreting somatic mutations in cancer studies, offering annotation, prioritization, and visualization with a web interface.

Non-invasive detection of bladder cancer through the analysis of driver gene mutations and aneuploidy

This paper develops a non-invasive urine-based test for bladder cancer detection using driver gene mutations and aneuploidy analysis, showing high sensitivity and specificity compared to cytology.

Non-invasive detection of upper tract urothelial carcinomas through the analysis of driver gene mutations and aneuploidy in urine

This study develops a non-invasive test for upper tract urothelial carcinomas using urine-based molecular analysis of driver gene mutations and aneuploidy, showing high sensitivity compared to current methods.