Prakash Chourasia

According to our database, Prakash Chourasia authored at least 27 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Medical Biol. Eng. Comput., August, 2024

Elliptic geometry-based kernel matrix for improved biological sequence classification.

Sarwan Ali, Madiha Shabbir, Haris Mansoor, Prakash Chourasia, Murray Patterson

Knowl. Based Syst., 2024

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering.

Sarwan Ali, Prakash Chourasia, Haris Mansoor, Bipin Koirala, Murray Patterson

CoRR, 2024

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks.

Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdadullah Khan, Pin-Yu Chen, Murray Patterson

CoRR, 2024

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images.

Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson

CoRR, 2024

Nearest Neighbor CCP-Based Molecular Sequence Analysis.

Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson

CoRR, 2024

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting.

Sarwan Ali, Prakash Chourasia, Murray Patterson

CoRR, 2024

A Universal Non-parametric Approach for Improved Molecular Sequence Analysis.

Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach.

Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

2023

ViralVectors: compact and scalable alignment-free virome feature generation.

Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson

Medical Biol. Eng. Comput., October, 2023

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data.

Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

J. Comput. Biol., April, 2023

Virus2Vec: Viral Sequence Classification Using Machine Learning.

Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson

CoRR, 2023

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning.

Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan, Murray Patterson

CoRR, 2023

Anderson Acceleration for Bioinformatics-Based Machine Learning.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection.

Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification.

Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

PDB2Vec: Using 3D Structural Information for Improved Protein Analysis.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis.

Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson

Proceedings of the International Joint Conference on Neural Networks, 2023

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification.

Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson

Proceedings of the Neural Information Processing - 30th International Conference, 2023

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Counterfactually Guided Policy Transfer in Clinical Settings.

Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson

Proceedings of the Conference on Health, Inference, and Learning, 2023

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification.

Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson

Proceedings of the IEEE International Conference on Big Data, 2023

2022

PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences.

Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson

CoRR, 2022

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning.

Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences.

Prakash Chourasia, Sarwan Ali, Murray Patterson

Proceedings of the IEEE International Conference on Big Data, 2022

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification.

Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.

Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021