Application of Bioinformatics in Cancers

• Main Author: Brenner, J. Chad (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: Biotechnology; cancer treatment; extreme learning; independent prognostic power; AID/APOBEC; HP; gene inactivation biomarkers; biomarker discovery; chemotherapy; artificial intelligence; epigenetics; comorbidity score; denoising autoencoders; protein; single-biomarkers; gene signature extraction; high-throughput analysis; concatenated deep feature; feature selection; differential gene expression analysis; colorectal cancer; ovarian cancer; multiple-biomarkers; gefitinib; cancer biomarkers; classification; cancer biomarker; mutation; hierarchical clustering analysis; HNSCC; cell-free DNA; network analysis; drug resistance; hTERT; variable selection; KRAS mutation; single-cell sequencing; network target; skin cutaneous melanoma; telomeres; Neoantigen Prediction; datasets; clinical/environmental factors; StAR; PD-L1; miRNA; circulating tumor DNA (ctDNA); false discovery rate; predictive model; Computational Immunology; brain metastases; observed survival interval; next generation sequencing; brain; machine learning; cancer prognosis; copy number aberration; mutable motif; steroidogenic enzymes; tumor; mortality; tumor microenvironment; somatic mutation; transcriptional signatures; omics profiles; mitochondrial metabolism; Bufadienolide-like chemicals; cancer-related pathways; intratumor heterogeneity; estrogen; locoregionally advanced; RNA; feature extraction and interpretation; treatment de-escalation; activation induced deaminase; knockoffs; R package; copy number variation; gene loss biomarkers; cancer CRISPR; overall survival; histopathological imaging; self-organizing map; Network Analysis; oral cancer; biostatistics; firehose; Bioinformatics tool; alternative splicing; biomarkers; diseases genes; histopathological imaging features; imaging; TCGA; decision support systems; The Cancer Genome Atlas; molecular subtypes; molecular mechanism; omics; curative surgery; network pharmacology; methylation; bioinformatics; neurological disorders; precision medicine; cancer modeling; miRNAs; breast cancer detection; functional analysis; biomarker signature; anti-cancer; hormone sensitive cancers; deep learning; DNA sequence profile; pancreatic cancer; telomerase; Monte Carlo; mixture of normal distributions; survival analysis; tumor infiltrating lymphocytes; curation; pathophysiology; GEO DataSets; head and neck cancer; gene expression analysis; erlotinib; meta-analysis; traditional Chinese medicine; breast cancer; TCGA mining; breast cancer prognosis; microarray; DNA; interaction; health strengthening herb; cancer; genomic instability
• Online Access: DOAB: download the publication; DOAB: description of the publication

This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify f...