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Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants

Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants

Z. Tayebi
Sarwan Ali
M. Patterson
ArXiv (abs)PDFHTML

Papers citing "Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants"

14 / 14 papers shown
Title
Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis
Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis
Sarwan Ali
Haris Mansoor
Murray Patterson
0
0
0
01 Oct 2025
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
Taslim Murad
Prakash Chourasia
Sarwan Ali
I. Khan
Murray Patterson
137
4
0
10 Sep 2024
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information
Sarwan Ali
89
0
0
20 Sep 2023
PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification
PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification
Sarwan Ali
Taslim Murad
Murray Patterson
72
0
0
13 Apr 2023
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation
Sarwan Ali
Prakash Chourasia
Z. Tayebi
B. Bello
Murray Patterson
95
6
0
06 Apr 2023
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
Sarwan Ali
Usama Sardar
Murray Patterson
Imdadullah Khan
81
1
0
01 Apr 2023
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
Prakash Chourasia
Taslim Murad
Z. Tayebi
Sarwan Ali
Imdadullah Khan
Murray Patterson
FedML
83
5
0
17 Feb 2023
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Sarwan Ali
102
6
0
19 Nov 2022
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences
Prakash Chourasia
Sarwan Ali
Murray Patterson
70
15
0
16 Nov 2022
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data
Prakash Chourasia
Sarwan Ali
Simone Ciccolella
G. D. Vedova
Murray Patterson
68
10
0
15 Nov 2022
Efficient Approximate Kernel Based Spike Sequence Classification
Efficient Approximate Kernel Based Spike Sequence Classification
Sarwan Ali
Bikram Sahoo
Muhammad Asad Khan
A. Zelikovsky
Imdadullah Khan
Murray Patterson
AI4TS
78
23
0
11 Sep 2022
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
Sarwan Ali
B. Bello
Prakash Chourasia
Ria Thazhe Punathil
Yijing Zhou
M. Patterson
75
45
0
06 Jan 2022
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
Sarwan Ali
Yijing Zhou
M. Patterson
OOD
121
32
0
18 Oct 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Sarwan Ali
M. Patterson
120
47
0
12 Sep 2021

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