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Application of Bioinformatics in Cancers

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ISBN: 9783039217885 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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Abstract

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 factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

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

Failure Mechanisms in Alloys

Author:
ISBN: 9783039282760 9783039282777 Year: Pages: 476 DOI: 10.3390/books978-3-03928-277-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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The era of lean production and excellence in manufacturing, advancing with sustainable development, demands the rational utilization of raw materials and energy resources, adopting cleaner and environmentally-friendly industrial processes. In view of the new industrial revolution, through digital transformation, the exploitation of smart and sophisticated materials systems, the need of minimizing scrap and increasing efficiency, reliability and lifetime and, on the other hand, the pursuit of fuel economy and limitation of carbon footprint, are necessary conditions for the imminent growth in a highly competitive economy. Failure analysis is an interdisciplinary scientific topic, reflecting the opinions and interpretations coming from a systematic evidence-gathering procedure, embracing various important sectors, imparting knowledge, and substantiating improvement practices. The deep understanding of material/component role (e.g., rotating shaft, extrusion die, gas pipeline) and properties will be of central importance for fitness for purpose in certain industrial processes and applications. Finally, it is hoped and strongly believed that the accumulation of additional knowledge in the field of failure mechanisms and the adoption of the principles, philosophy, and deep understanding of failure analysis process approach will strongly promote the learning concept, as a continuously evolving process leading to personal and social progress and prosperity.

Keywords

impingement --- erosion corrosion --- API 5L-X65 --- flow loop --- wear scar --- creep fatigue --- crack growth --- grain boundary --- hydrogen-assisted cracking --- corrosion --- SOHIC --- cleavage fracture --- cold-working process --- surface-cracking process --- impact toughness --- strength --- low temperatures --- austenitic stainless steels --- pipeline steel --- tensile stress --- corrosion --- potentiodynamic polarization --- EIS --- brass extrusion --- CFD simulation --- extrusion failures --- plastic deformation processing --- finite element analysis --- inverse modeling --- post-necking hardening --- biaxial tensile test --- elevated temperature --- reliability design --- helix upper dispenser --- fracture --- parametric accelerated life testing --- faulty designs --- metal components --- fracture mechanisms --- fractography --- fracture mechanics --- quality improvement --- finite element modeling --- nanocrystalline materials --- elastic moduli --- yield strength --- cast duplex stainless steels --- thermal aging --- tensile deformation --- spinodal decomposition --- smooth particle hydrodynamics --- Titanium alloy machining --- numerical simulation --- cutting forces --- chip formation --- fracture --- iterative FEM Method --- GISSMO Model --- softening --- macroscopic strength criterion --- isotropic metals --- fracture plane --- linear Mohr–Coulomb criterion --- failure mechanism --- W-30Cu --- microstructure homogeneity --- dynamic compression strength --- ductility --- failure mechanism --- slow-rate machining --- chip formation --- shape --- temperature --- microhardness HV --- creep --- steam reforming --- carbides --- G-phase --- aging --- cast reformer tubes --- hot stamping --- press hardening --- austenitizing furnace --- high temperature fatigue --- thermal distortion --- conveying system --- refractory steels --- furnace component failure --- ductile irons --- tensile tests --- mechanical properties --- constitutive equations --- quality assessment --- shear angle --- chip root --- shape --- built-up edge --- slow-rate machining --- convection tubes --- AISI 304 stainless steel --- failure analysis --- sensitization --- bake hardening --- dent resistance --- failure study --- polynomial regression --- yield strength --- automotive steels --- reformer tubes --- HP-Mod --- failure analysis --- creep --- surface modification techniques --- degradation of protective layers --- lubrication --- nitrocarburizing --- hardfacings --- thermal-sprayed coatings --- finite element analysis --- forward slip prediction --- strip marking method --- multilinear regression --- micro flexible rolling --- thickness transition area --- 3D Voronoi modelling --- automotive --- 6063 Alloy --- EBSD --- bendability --- fractography --- modeling --- texture --- tribological properties --- wear --- surface treatment --- self-equalizing bearing --- n/a

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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english (2)


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2020 (1)

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