Research

Protein Solubility Prediction

• Developed a deep learning-based pipeline to predict the solubility of protein sequences, utilizing a range of protein-related features.
• Incorporated advanced protein language models (LLMs) for feature extraction and sequence processing.

Comprehensive Feature Selection and Biological Relevance Analysis in Multi-Disease Gene Expression Data

This work is about identifying the biomarkers of different cancers from microarray gene expression datasets.
Supervisor: Dr. Mohammad Saifur Rahman

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Is It Really Dead? Digging into Dead Brains through Analyzing Its Behavior in Response to Inducing External Impulses

Published in 8th NSysS, 2021

This paper is about detecting signals in the posthumous brain of a goat.

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