Sabah Sayed
Teacher
(email)
HADC: A Hybrid Compression Approach for DNA Sequences
View
What links here
in
Bioinformatics
Compression algorithms
DNA
Encoding
Genomics
Redundancy
Sequential analysis
Citation:
Elnady, S., S. Sayed, and A. K. R. A. M. SALAH, "HADC: A Hybrid Compression Approach for DNA Sequences", IEEE Access, vol. 10, pp. 106841 - 106848, 2022.
Export
RTF
Tagged
XML
BibTex
Google Scholar
Preview
Attachment
Size
hadc_a_hybrid_compression_approach_for_dna_sequences.pdf
6.26 MB
Publications
Bio
Classes
Tags
automatic clustering
(1)
Bioinformatics
(1)
clinical blood tests
(1)
Colon cancer
(1)
Compression algorithms
(1)
consensus clustering
(1)
COVID-19
(1)
DNA
(1)
DNA Methylation
(1)
DNA methylation dataset
(1)
Encoding
(1)
Feature selection
(3)
Genetic algorithm
(2)
Genomics
(1)
Hunger Game search (HGS) optimization algorithm
(1)
ICU severity prediction
(1)
Lung cancer
(1)
metaheuristic algorithms
(1)
Microarray gene expression
(2)
Redundancy
(1)
Sequential analysis
(1)
Single-cell RNA-seq
(1)
Support Vector Machine
(1)
support vector machine (SVM)
(1)
swarm intelligence
(1)
unsupervised learning
(1)
Recent Publications
APPLYING HUNGER GAME SEARCH (HGS)FOR SELECTING SIGNIFICANT BLOODINDICATORSFOR EARLY PREDICTION OFICU COVID-19 SEVERITY
HADC: A Hybrid Compression Approach for DNA Sequences
Consensus Nature Inspired Clustering of Single-Cell RNA-Sequencing Data
Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity
Long Short-Term Memory Neural Networks for RNA Viruses Mutations Prediction
more
Tourism
