Computational Methods for the Analysis of Genomic Data and Biological Processes

Computational Methods for the Analysis of Genomic Data and Biological Processes

In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bi...

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Bibliographic Details
Other Authors: Gómez Vela, Francisco A. (Editor), Divina, Federico (Editor), García-Torres, Miguel (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Research & information: general
Biology, life sciences
HIGD2A
cancer
DNA methylation
mRNA expression
miRNA
quercetin
hypoxia
eQTL
CRISPR-Cas9
single-cell clone
fine-mapping
power
RNA N6-methyladenosine site
yeast genome
methylation
computational biology
deep learning
bioinformatics
hepatocellular carcinoma
transcriptomics
proteomics
bioinformatics analysis
differentiation
Gene Ontology
Reactome Pathways
gene-set enrichment
meta-analysis
transcription factor
binding sites
genomics
chilling stress
CBF
DREB
CAMTA1
pathway
text mining
infiltration tactics optimization algorithm
classification
clustering
microarray
ensembles
machine learning
infiltration
computational intelligence
gene co-expression network
murine coronavirus
viral infection
immune response
data mining
systems biology
obesity
differential genes expression
exercise
high-fat diet
pathways
potential therapeutic targets
DNA N6-methyladenine
Chou's 5-steps rule
Convolution Neural Network (CNN)
Long Short-Term Memory (LSTM)
machine-learning
chromatin interactions
prediction
genome architecture
n/a
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