TY  - GEN
AU  - Gómez Vela,Francisco A.
AU  - Divina,Federico
AU  - García-Torres,Miguel
AU  - Gómez Vela,Francisco A.
AU  - Divina,Federico
AU  - García-Torres,Miguel
TI  - Computational Methods for the Analysis of Genomic Data and Biological Processes
SN  - books978-3-03943-772-6
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - Biology, life sciences
KW  - HIGD2A
KW  - cancer
KW  - DNA methylation
KW  - mRNA expression
KW  - miRNA
KW  - quercetin
KW  - hypoxia
KW  - eQTL
KW  - CRISPR-Cas9
KW  - single-cell clone
KW  - fine-mapping
KW  - power
KW  - RNA N6-methyladenosine site
KW  - yeast genome
KW  - methylation
KW  - computational biology
KW  - deep learning
KW  - bioinformatics
KW  - hepatocellular carcinoma
KW  - transcriptomics
KW  - proteomics
KW  - bioinformatics analysis
KW  - differentiation
KW  - Gene Ontology
KW  - Reactome Pathways
KW  - gene-set enrichment
KW  - meta-analysis
KW  - transcription factor
KW  - binding sites
KW  - genomics
KW  - chilling stress
KW  - CBF
KW  - DREB
KW  - CAMTA1
KW  - pathway
KW  - text mining
KW  - infiltration tactics optimization algorithm
KW  - classification
KW  - clustering
KW  - microarray
KW  - ensembles
KW  - machine learning
KW  - infiltration
KW  - computational intelligence
KW  - gene co-expression network
KW  - murine coronavirus
KW  - viral infection
KW  - immune response
KW  - data mining
KW  - systems biology
KW  - obesity
KW  - differential genes expression
KW  - exercise
KW  - high-fat diet
KW  - pathways
KW  - potential therapeutic targets
KW  - DNA N6-methyladenine
KW  - Chou’s 5-steps rule
KW  - Convolution Neural Network (CNN)
KW  - Long Short-Term Memory (LSTM)
KW  - machine-learning
KW  - chromatin interactions
KW  - prediction
KW  - genome architecture
KW  - n/a
N1  - Open Access
N2  - 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 bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality
UR  - https://mdpi.com/books/pdfview/book/3374
UR  - https://directory.doabooks.org/handle/20.500.12854/68364
ER  -