Prakash Chourasia

Orcid: 0000-0002-1443-2192

According to our database1, Prakash Chourasia authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting.
CoRR, 2024

A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis.
CoRR, 2024

2023
ViralVectors: compact and scalable alignment-free virome feature generation.
Medical Biol. Eng. Comput., October, 2023

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data.
J. Comput. Biol., April, 2023

Virus2Vec: Viral Sequence Classification Using Machine Learning.
CoRR, 2023

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning.
CoRR, 2023

Anderson Acceleration for Bioinformatics-Based Machine Learning.
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.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

PDB2Vec: Using 3D Structural Information for Improved Protein Analysis.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2023

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Counterfactually Guided Policy Transfer in Clinical Settings.
Proceedings of the Conference on Health, Inference, and Learning, 2023

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences.
CoRR, 2022

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning.
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.
Proceedings of the IEEE International Conference on Big Data, 2022

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.
Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021


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