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Prakash Chourasia
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2020 – today
- 2024
- [j4]Sarwan Ali
, Madiha Shabbir, Haris Mansoor, Prakash Chourasia
Elliptic geometry-based kernel matrix for improved biological sequence classification. Knowl. Based Syst. 304: 112479 (2024) - [j3]Sarwan Ali
From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical Biol. Eng. Comput. 62(8): 2449-2483 (2024) - [c15]Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson:
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA (1) 2024: 52-62 - [c14]Sarwan Ali, Tamkanat E. Ali
A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. PKDD (4) 2024: 194-206 - [i12]Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson:
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis. CoRR abs/2402.08117 (2024) - [i11]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. CoRR abs/2403.19844 (2024) - [i10]Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson:
Nearest Neighbor CCP-Based Molecular Sequence Analysis. CoRR abs/2409.04922 (2024) - [i9]Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson:
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. CoRR abs/2409.06694 (2024) - 2023
- [j2]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): 469-491 (2023) - [j1]Sarwan Ali
ViralVectors: compact and scalable alignment-free virome feature generation. Medical Biol. Eng. Comput. 61(10): 2607-2626 (2023) - [c13]Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson:
Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. IEEE Big Data 2023: 1429-1437 - [c12]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: 6-18 - [c11]Sarwan Ali, Prakash Chourasia, Murray Patterson:
When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. Tiny Papers @ ICLR 2023 - [c10]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: 215-227 - [c9]Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson:
Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. IJCNN 2023: 1-8 - [c8]Sarwan Ali, Prakash Chourasia, Murray Patterson:
PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA 2023: 376-386 - [c7]Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson:
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA 2023: 387-397 - [c6]Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson:
Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA 2023: 442-452 - [c5]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration for Bioinformatics-Based Machine Learning. KDH@IJCAI 2023 - [i8]Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration For Bioinformatics-Based Machine Learning. CoRR abs/2302.00347 (2023) - [i7]Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR abs/2302.08688 (2023) - [i6]Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson:
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation. CoRR abs/2304.02891 (2023) - [i5]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR abs/2304.12328 (2023) - [i4]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 abs/2304.13145 (2023) - 2022
- [c4]Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson:
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. ACML 2022: 754-769 - [c3]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. IEEE Big Data 2022: 101-106 - [c2]Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson:
Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. BigDataService 2022: 81-88 - [i3]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 abs/2201.02273 (2022) - [i2]Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson:
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR abs/2211.08267 (2022) - [i1]Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. CoRR abs/2211.09263 (2022) - 2021
- [c1]Prakash Chourasia
Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. ICCABS 2021: 133-148
Coauthor Index
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