Protein sequence classification with self-supervised pretraining
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Updated
Nov 29, 2021 - Python
Protein sequence classification with self-supervised pretraining
Exploring Evolution-aware & free protein language models as protein function predictors
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
A multi-stage graph neural network classification pipeline for protein meshes.
Antimicrobial Peptide Scanner Version 2. Open source GLPv3 release of code from 2018 paper "Deep learning improves antimicrobial peptide recognition" published in the journal Bioinformatics: https://doi.org/10.1093/bioinformatics/bty179
Graph Transformer for Protein Structure classification
LLM-powered classification of phage protein functions to identify strong lytic candidates against Klebsiella, using transfer learning and biological embeddings.
Gene Anotation with CNNs
Personal project dealing on Transformer and Protein family classification
TooT-PLM-ionCT: A bioinformatics framework utilizing protein language models for accurate classification of ion channels and ion transporters from membrane proteins.
A comparative analysis of deep learning algorithms for multi label image classification using microscopic images.
Assignments Completed during BIO543:Big Data Mining in Healthcare Course in IIITD during Winter 2025 Semester. Professor: Gajendra P.S. Raghava
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