Prakash Chourasia

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 28

Top Topics

Protein Sequences

Machine Learning

Sequence Classification

Computational Biology

Top Venues

Medical Biol. Eng. Comput.

J. Comput. Biol.

Publications

Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA (1) (2024)
Sarwan Ali, Prakash Chourasia, Murray Patterson
Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. CoRR (2024)
Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson
A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. PKDD (4) (2024)
Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis. CoRR (2024)
Sarwan Ali, Prakash Chourasia, Murray Patterson
From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical Biol. Eng. Comput. 62 (8) (2024)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL (2023)
Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson
Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. BigData (2023)
Sarwan Ali, Prakash Chourasia, Murray Patterson
When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. Tiny Papers @ ICLR (2023)
Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. IJCNN (2023)
Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA (2023)
Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. J. Comput. Biol. 30 (4) (2023)
Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson
ViralVectors: compact and scalable alignment-free virome feature generation. Medical Biol. Eng. Comput. 61 (10) (2023)
Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation. CoRR (2023)
Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson
Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA (2023)
Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. CoRR (2023)
Sarwan Ali, Prakash Chourasia, Murray Patterson
PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA (2023)
Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan, Murray Patterson
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR (2023)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR (2023)
Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson
T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. ICONIP (10) (2023)
Sarwan Ali, Prakash Chourasia, Murray Patterson
Anderson Acceleration for Bioinformatics-Based Machine Learning. KDH@IJCAI (2023)
Sarwan Ali, Prakash Chourasia, Murray Patterson
Anderson Acceleration For Bioinformatics-Based Machine Learning. CoRR (2023)
Prakash Chourasia, Sarwan Ali, Murray Patterson
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. CoRR (2022)
Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson
Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. BigDataService (2022)
Prakash Chourasia, Sarwan Ali, Murray Patterson
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. Big Data (2022)
Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. ACML (2022)
Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR (2022)
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. CoRR (2022)
Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. ICCABS (2021)