A k-mer Based Approach for SARS-CoV-2 Variant Identification

7 August 2021

Sarwan Ali

Bikram Sahoo

N. Ullah

Alexander Zelikovskiy

M. Patterson

Imdadullah Khan

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Papers citing "A k-mer Based Approach for SARS-CoV-2 Variant Identification"

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Title
Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy Sarwan Ali Tamkanat E. Ali I. Khan Murray Patterson AI4TS 42 0 0 31 Dec 2024
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images Taslim Murad Prakash Chourasia Sarwan Ali Murray Patterson 26 3 0 10 Sep 2024
Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information Sarwan Ali 37 0 0 20 Sep 2023
PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification Sarwan Ali Taslim Murad Murray Patterson 27 0 0 13 Apr 2023
ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation Sarwan Ali Prakash Chourasia Z. Tayebi B. Bello Murray Patterson 32 6 0 06 Apr 2023
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences Sarwan Ali Usama Sardar Murray Patterson Imdadullah Khan 29 1 0 01 Apr 2023
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning Prakash Chourasia Taslim Murad Z. Tayebi Sarwan Ali Imdadullah Khan Murray Patterson FedML 32 5 0 17 Feb 2023
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model Sarwan Ali 21 5 0 19 Nov 2022
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences Prakash Chourasia Sarwan Ali Murray Patterson 24 14 0 16 Nov 2022
Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data Prakash Chourasia Sarwan Ali Simone Ciccolella G. D. Vedova Murray Patterson 24 9 0 15 Nov 2022
Efficient Approximate Kernel Based Spike Sequence Classification Sarwan Ali Bikram Sahoo Muhammad Asad Khan A. Zelikovsky Imdadullah Khan Murray Patterson AI4TS 33 22 0 11 Sep 2022
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19 M. Kang Chaarvi Bansal S. Vasan Tom Blau Vinti Agarwal Pranjal Singh Laurence O. W. Wilson Rohitash Chandra 29 6 0 01 Aug 2022
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification Sarwan Ali Bikram Sahoo Alexander Zelikovskiy Pin-Yu Chen Murray Patterson OOD AAML 32 19 0 18 Jul 2022
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 24 42 0 06 Jan 2022
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants Z. Tayebi Sarwan Ali M. Patterson 16 19 0 18 Oct 2021
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models Sarwan Ali Yijing Zhou M. Patterson OOD 22 32 0 18 Oct 2021
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location Sarwan Ali B. Bello Z. Tayebi Murray Patterson 39 2 0 02 Oct 2021
Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3) Inaam Ul Hassan A. Haseeb Sarwan Ali 32 1 0 17 Sep 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences Sarwan Ali M. Patterson 21 46 0 12 Sep 2021
Effective and scalable clustering of SARS-CoV-2 sequences Sarwan Ali Tamkanat E. Ali Muhammad Asad Khan Imdadullah Khan M. Patterson 29 31 0 18 Aug 2021
Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow Sarwan Ali Maria K. Alvi S. Faizullah Muhammad Asad Khan Abdullah Alshanqiti Imdadullah Khan 26 35 0 27 Dec 2019