Samik Ghosh

MelAnalyze: Fact-Checking Melatonin claims using Large Language Models and Natural Language Inference

MelAnalyze uses deep learning and NLI to semi-automate fact-checking of melatonin claims by validating against scientific literature.

Clustering Gene Co-expression Using 2D Contour Analysis and Autoencoder-based Embedding

The paper introduces a framework using 2D contour analysis and autoencoder embeddings to cluster co-expressed genes, achieving high correlation with visual coherence.

Precise and scalable metagenomic profiling with sample-tailored minimizer libraries

The paper introduces a two-step metagenomic classification method that improves precision and scalability using sample-tailored minimizer libraries, achieving higher species-level read classification.

IntegrIBS: Evaluating the Potential and Challenges of Building a Robust IBS Classifier with Integrated Microbiome Data

The paper evaluates the potential and challenges of building an IBS classifier using integrated microbiome data, finding that while XGBoost achieves moderate accuracy, performance drops significantly when tested across diverse datasets.

Large Language Models for Pathway Curation: A Preliminary Investigation

This paper investigates using Large Language Models for pathway curation, showing improved performance over existing methods with a GPT-3.5 fine-tuned model.

MoMA: Large scale network model of Microbes, Metabolites and Aging hallmarks

The paper develops a network model linking gut microbiota, metabolites, and aging hallmarks to identify microbes and metabolites influencing aging processes.

Artificial intelligence based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease

The paper develops a deep learning framework to prioritize novel drug targets and repositionable compounds for Alzheimer's disease using protein-protein interaction networks.