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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 …
A k-mer Based Approach for SARS-CoV-2 Variant Identification
With the rapid spread of the novel coronavirus (COVID-19) across the globe and its
continuous mutation, it is of pivotal importance to design a system to identify different known …
continuous mutation, it is of pivotal importance to design a system to identify different known …
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 …
Effective and scalable clustering of SARS-CoV-2 sequences
SARS-CoV-2, like any other virus, continues to mutate as it spreads, according to an
evolutionary process. Unlike any other virus, the number of currently available sequences of …
evolutionary process. Unlike any other virus, the number of currently available sequences of …
Spike2signal: Classifying coronavirus spike sequences with deep learning
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19
disease in humans, which has reached the scale of a global pandemic. Changes in the …
disease in humans, which has reached the scale of a global pandemic. Changes in the …
Hashing2vec: Fast embedding generation for sars-cov-2 spike sequence classification
Due to the ongoing coronavirus (COVID-19) pandemic, an unprecedented amount of SARS-
CoV-2 sequence data is available. The scale of this data has out-paced traditional methods …
CoV-2 sequence data is available. The scale of this data has out-paced traditional methods …
Sc-TUSV-ext: Single-cell clonal lineage inference from single nucleotide variants (SNV), copy number alterations (CNA) and structural variants (SV)
Clonal lineage inference (“tumor phylogenetics”) has become a crucial tool for making
sense of somatic evolution processes that underlie cancer development and are …
sense of somatic evolution processes that underlie cancer development and are …
[HTML][HTML] Classifying covid-19 spike sequences from geographic location using deep learning
S Ali, B Bello, M Patterson - 2021 - europepmc.org
With the rapid spread of COVID-19 worldwide, viral genomic data is available in the order of
millions of sequences on public databases such as GISAID. This Big Data creates a unique …
millions of sequences on public databases such as GISAID. This Big Data creates a unique …
Information We Can Extract About a User from 'One Minute Mobile Application Usage'
Understanding human behavior is important and has applications in many domains, such as
targeted advertisement, health analytics, security, entertainment, etc. For this purpose …
targeted advertisement, health analytics, security, entertainment, etc. For this purpose …