Siddharth Jain

The paper predicts the emergence of new SARS-CoV-2 clades using a generative complexity framework that analyzes viral RNA sequences without sequence alignment.

This paper introduces mutation profiles from healthy genomes to classify cancer types using machine learning, achieving 93% accuracy in distinguishing pancreatic and brain cancer patients.

The paper shows that STR information in TCGA is biased by amplification methods and presents a classifier that distinguishes samples based on analyte codes.