Meghana Venkata Palukuri

DeepSLICEM improves clustering of cryo-EM 2D projections by combining image and graph features, achieving better accuracy than previous methods on synthetic and experimental datasets.

The paper uses reinforcement learning to detect protein complexes in PPI networks, identifying 1,157 complexes with improved speed and accuracy compared to existing methods.

Super.Complex detects protein complexes in interaction networks using supervised machine learning, identifying 1,028 complexes in human networks, including 234 linked to SARS-CoV-2.

The paper develops an integrated computational model to explore how diet and gut microbiota interact in autism, showing probiotics reduce oxidative stress and microbiome-diet interactions affect host metabolism.