Feature-extraction and analysis based on spatial distribution of amino acids for SARS-CoV-2 Protein sequences
Background and objective The world is currently facing a global emergency due to COVID-
19, which requires immediate strategies to strengthen healthcare facilities and prevent …
19, which requires immediate strategies to strengthen healthcare facilities and prevent …
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA)
sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is …
sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is …
Multifactorial feature extraction and site prognosis model for protein methylation data
Integrated studies (multi-omics studies) comprising genetic, proteomic and epigenetic data
analyses have become an emerging topic in biomedical research. Protein methylation is a …
analyses have become an emerging topic in biomedical research. Protein methylation is a …
Protein-protein interaction prediction from primary sequences using supervised machine learning algorithm
Protein-Protein Interactions (PPI) study is significant to comprehending cellular biological
functions. Though there are different experimental techniques to predict PPIs, detecting PPIs …
functions. Though there are different experimental techniques to predict PPIs, detecting PPIs …
Identification of discriminant features from stationary pattern of nucleotide bases and their application to essential gene classification
Introduction: Essential genes are essential for the survival of various species. These genes
are a family linked to critical cellular activities for species survival. These genes are coded …
are a family linked to critical cellular activities for species survival. These genes are coded …
Preliminaries on the accurate estimation of the Hurst exponent using time series
G Millán, R Osorio-Comparán… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
This article explores the required amount of time series points from a high-speed computer
network to accurately estimate the Hurst exponent. The methodology consists in designing …
network to accurately estimate the Hurst exponent. The methodology consists in designing …
Unsupervised learning for feature representation using spatial distribution of amino acids in aldehyde dehydrogenase (aldh2) protein sequences
Aldehyde dehydrogenase 2 (ALDH2) enzyme is required for alcohol detoxification. ALDH2
belongs to the aldehyde dehydrogenase family, the most important oxidative pathway of …
belongs to the aldehyde dehydrogenase family, the most important oxidative pathway of …
Traffic flows analysis in high-speed computer networks using time series
G Millán - arXiv preprint arXiv:2103.03984, 2021 - arxiv.org
This article explores the required amount of time series points from a high-speed traffic
network to accurately estimate the Hurst exponent. The methodology consists in designing …
network to accurately estimate the Hurst exponent. The methodology consists in designing …
[PDF][PDF] A vicenary analysis of SARS-CoV-2 genomes
Coronaviruses are responsible for various diseases ranging from the common cold to
severe infections like the Middle East syndromes and the severe acute respiratory …
severe infections like the Middle East syndromes and the severe acute respiratory …
Extraction of sequence-based features for prediction of methylation sites in protein sequences
Protein methylation, a form of post translational modifications (PTM), plays a significant role
in numerous cellular methods. Prediction of protein methylation sites is significant to …
in numerous cellular methods. Prediction of protein methylation sites is significant to …