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Gurjit S. Randhawa
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Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
GS Randhawa, MPM Soltysiak, H El Roz, CPE de Souza, KA Hill, L Kari
Plos one 15 (4), e0232391, 2020
4372020
ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels
GS Randhawa, KA Hill, L Kari
BMC genomics 20, 1-21, 2019
602019
MLDSP-GUI: an alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis
GS Randhawa, KA Hill, L Kari
Bioinformatics 36 (7), 2258-2259, 2020
302020
Efficacy of Genetic Algorithms in Staging Cervical Cancer
SRP Singh, GS Randhawa, RS Virk
International journal of cancer research 47 (2), 1164, 2013
32013
Cost Optimization of Pipeline Systems using Genetic Algorithm
P Sharma, GSR Shelza, RS Virk
International Journal of Computer Engineering & Technology (IJCET) 4 (4 …, 2013
22013
Heaps' Law in GPT-Neo Large Language Model Emulated Corpora
U Lai, GS Randhawa, P Sheridan
arXiv preprint arXiv:2311.06377, 2023
2023
Environment and taxonomy shape the genomic signature of prokaryotic extremophiles
PM Arias, J Butler, GS Randhawa, MPM Soltysiak, KA Hill, L Kari
Scientific Reports 13 (1), 16105, 2023
2023
Mutational Patterns Observed in SARS-CoV-2 Genomes Sampled From Successive Epochs Delimited by Major Public Health Events in Ontario, Canada: Genomic Surveillance Study
D Chen, GS Randhawa, MPM Soltysiak, CPE de Souza, L Kari, SM Singh, ...
JMIR Bioinformatics and Biotechnology 3 (1), e42243, 2022
2022
SomaticSiMu: a mutational signature simulator
D Chen, GS Randhawa, MPM Soltysiak, CPE de Souza, L Kari, SM Singh, ...
Bioinformatics 38 (9), 2619-2620, 2022
2022
Investigating Genomic and Mutational Signatures of Organisms Living in Extreme Environments.
MPM Soltysiak, GS Randhawa, A Osman, CPE de Souza, KA Hill, L Kari
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 90-91, 2020
2020
SomaticSiMu: A Mutational Signature Simulator for Benchmarking Alignment-free Machine Learning Classification of Genomic Signatures.
D Chen, GS Randhawa, MPM Soltysiak, L Kara, KA Hill
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 42-43, 2020
2020
Machine Learning Applied to Mouse Genotypes Accurately Classifies Genetic Background: Relevance to Human Genotype Classification for Detection of Environmental Mutagen Exposures.
HA Pavanel, GS Randhawa, NA Boehler, RD Kelly, TA Miller, ...
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 61, 38-39, 2020
2020
Machine learning-based analysis of genomes suggests associations between Wuhan 2019-nCoV and bat Betacoronaviruses (preprint)
GS Randhawa, MPM Soltysiak, H El Roz, CPE de Souza, KA Hill, L Kari
2020
Alignment-free genome analysis of SARS-CoV-2 using Machine learning
GS Randhawa, MPM Soltysiak, HEL Roz, CPE de Souza, KA Hill, L Kari
Environmental and Molecular Mutagenesis, 55-55, 2020
2020
Machine Learning with Digital Signal Processing for Rapid and Accurate Alignment-Free Genome Analysis: From Methodological Design to a Covid-19 Case Study
GS Randhawa
The University of Western Ontario (Canada), 2020
2020
A Stand-Alone Software Tool With a Graphical User Interface Employing Machine-Learning and Digital Signal Processing (ML-DSP) for Accurate Genome-Wide Classification of Human …
GS Randhawa, KA Hill, L Kari
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 60, 79-80, 2019
2019
Machine Learning-Digital Signal Processing and genomic signatures to elucidate the ancestral proteobacterial origin of mitochondria.
M Soltysiak, GS Randhawa, L Kari, KA Hill
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 60, 80-80, 2019
2019
Genomic Signatures: Machine Learning and Digital Signal Processing of Genomic Sequences Provides Ultrafast and Accurate Taxonomic Classification.
GS Randhawa, KA Hill, L Kari
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 59, 104-104, 2018
2018
Tracking down contributors to genomic signatures: Cross-species comparisons of subsequence avoidance.
M Soltvsiak, GS Randhawa, NA Boehler, L Kari, KA Hill
ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 59, 104-104, 2018
2018
uating Information Access (EVIA 2023), a Satellite Work-shop of the NTCIR-17 Conference, December 12-15, 2023 Tokyo Japan
Q Ai, DW Oard, I Soboroff, A Aizawa, I Kang, Y Liu, P Thomas, T Sakai, ...
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