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Spike2vec: An efficient and scalable embedding approach for covid-19 spike sequences
With the rapid global spread of COVID-19, more and more data related to this virus is
becoming available, including genomic sequence data. The total number of genomic …
becoming available, including genomic sequence data. The total number of genomic …
[HTML][HTML] PWM2Vec: An efficient embedding approach for viral host specification from coronavirus spike sequences
Simple Summary The family of coronaviruses comprises a diverse set of strains and variants
which cause diseases from the common cold to COVID-19. Moreover, they infect a wide …
which cause diseases from the common cold to COVID-19. Moreover, they infect a wide …
Early detection of emerging viral variants through analysis of community structure of coordinated substitution networks
The emergence of viral variants with altered phenotypes is a public health challenge
underscoring the need for advanced evolutionary forecasting methods. Given extensive …
underscoring the need for advanced evolutionary forecasting methods. Given extensive …
Efficient analysis of COVID-19 clinical data using machine learning models
Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of
data and case studies have been made available, providing researchers with a unique …
data and case studies have been made available, providing researchers with a unique …
Efficient approximate kernel based spike sequence classification
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of
sequences, require a definition of distance/similarity between pairs of sequences. Several …
sequences, require a definition of distance/similarity between pairs of sequences. Several …
Robust representation and efficient feature selection allows for effective clustering of sars-cov-2 variants
The widespread availability of large amounts of genomic data on the SARS-CoV-2 virus, as
a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze …
a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze …
Reads2vec: Efficient embedding of raw high-throughput sequencing reads data
The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the
COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a …
COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a …
Clustering sars-cov-2 variants from raw high-throughput sequencing reads data
The massive amount of genomic data appearing over the past two years for SARS-CoV-2
has challenged traditional methods for studying the dynamics of the COVID-19 pandemic …
has challenged traditional methods for studying the dynamics of the COVID-19 pandemic …
Community structure and temporal dynamics of SARS-CoV-2 epistatic network allows for early detection of emerging variants with altered phenotypes
The rise of viral variants with altered phenotypes presents a significant public health
challenge. In particular, the successive waves of COVID-19 have been driven by emerging …
challenge. In particular, the successive waves of COVID-19 have been driven by emerging …
Enhancing t-sne performance for biological sequencing data through kernel selection
The genetic code for many different proteins can be found in biological sequencing data,
which offers vital insight into the genetic evolution of viruses. While machine learning …
which offers vital insight into the genetic evolution of viruses. While machine learning …