Search results: Found 2

Listing 1 - 2 of 2
Sort by
Systems Analytics and Integration of Big Omics Data

Author:
ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
License:

Loading...
Export citation

Choose an application

Abstract

A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

Renal Cell Carcinoma

Author:
ISBN: 9783039286386 / 9783039286393 Year: Pages: 500 DOI: 10.3390/books978-3-03928-639-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2020-06-09 16:38:57
License:

Loading...
Export citation

Choose an application

Abstract

Renal cancer is a health problem of major concern worldwide. Although tyrosine kinase inhibitors and immune check-point blockade treatments, alone or in combination, are giving promising results, failures are quite frequent due to intratumor heterogeneity and to the acquisition of drug resistance. The spectrum of renal cell carcinoma subtypes is wide. Up to 70–80% of renal tumors are clear cell renal cell carcinomas, a clinically aggressive tumor subtype linked to VHL gene inactivation. Next in frequency, the papillary renal cell carcinoma category encompasses an intricate puzzle of classic and newly described entities with poorly defined limits, some of them pending definite clarification. Likewise, the chromophobe–oncocytoma duality, the so-called hybrid tumors and oncocytic neoplasms, remain to be well profiled. Finally, a growing list of very uncommon renal tumors linked to specific molecular signatures fulfill the current portrait of renal cell neoplasia. This Special Issue of Cancers regards RCC from very different perspectives, from the intimate basic mechanisms governing this disease to the clinical practice principles of their diagnoses and treatments. The interested reader will have the opportunity to contact with some of the most recent findings and will be updated with excellent reviews.

Keywords

ghrelin --- aurora A --- MMP10 --- invasion --- sarcomatoid --- RCC --- immunotherapy --- checkpoint inhibitors --- survival --- PD-L1 --- chronic kidney disease --- nephrectomy --- overall survival --- recurrence free survival --- renal cell carcinoma --- statins --- uric acid --- intratumour heterogeneity --- metastatic ccRCC --- copy number alteration --- mutation --- gene expression --- MiT family translocation renal cell carcinoma --- Xp11 translocation renal cell carcinoma --- t(6 --- 11) translocation renal cell carcinoma --- FISH --- TFE3 --- TFEB --- TFEB-amplified renal cell carcinoma --- renal cell carcinoma --- immune checkpoint inhibitors --- tyrosine kinase inhibitors --- efficacy --- toxicity --- cytoreductive nephrectomy --- Papillary renal cell carcinoma (pRCC) --- proteome profiling --- metabolome profiling --- glutathione metabolism --- metabolic reprogramming --- IL4R? --- IL13R?1 --- renal cell carcinoma --- JAK2 --- FOXO3 --- clear cell renal cell carcinoma --- identification of circular RNAs --- experimental validation of circular RNA --- diagnostic and prognostic markers --- circular RNAs in a clinico-genomic predictive model --- cancer-specific survival --- recurrence-free survival --- overall survival --- chromophobe renal cell carcinoma --- pale cell --- eosinophilic variant --- chromosomal loss --- copy number analysis --- renal cell carcinoma --- clear cell renal cell carcinoma --- AMP-activated protein kinases --- immunohistochemistry --- prognosis --- SMAD proteins --- transforming growth factor beta --- renal cell cancer --- microRNA --- metabolome --- proliferation --- PPP --- pentose phosphate pathway --- TCA cycle --- miR-155-5p --- miR-146a-5p --- TCGA --- renal cell carcinoma --- metastasis --- MTA2 --- MMP-9 --- miR-133b --- kidney cancer --- immunotherapy --- renal cell --- inflammation markers --- programmed death-ligand 1 --- immune checkpoint inhibitors --- prognostic factors --- predictive factors --- glutathione transferase omega 1 --- glutathione transferase omega 2 --- polymorphism --- PI3K/Akt/mTOR --- Raf/MEK/ERK --- IL-1? --- pro-IL-1? --- gene signature --- renal cancer --- survival prediction --- polybromo-1 --- PBRM1 --- renal cell carcinoma --- biomarker --- prognosis --- predictive role --- collecting duct carcinoma --- RNA sequencing --- solute carrier proteins --- kidney --- renal cell carcinoma --- molecular genetic features --- practical approach --- review --- renal cell carcinoma --- sarcomatoid --- immunotherapy --- renal cell carcinoma --- checkpoint inhibitors --- VEGF inhibitors --- mTOR inhibitors --- kidney --- emerging entity --- new entity --- oncocytic renal tumor --- unclassified renal cell carcinoma --- unclassified renal tumor --- anaplastic lymphoma kinase rearrangement --- ALK --- ESC --- HOT --- LOT --- drug sensitivity --- immune infiltration --- renal cancer --- targeted therapy --- tumor slice culture --- clear cell Renal Cell Carcinoma --- urine --- glycoproteomics --- N-glycomapping --- label-free --- glycomarkers --- everolimus --- EVI1 --- genetic association --- mTOR --- clear cell renal cell carcinoma --- curcumin --- renal cell cancer --- tumor adhesion --- tumor migration --- integrins --- NK cells --- kidney cancer --- renal cell carcinoma --- IL-2 --- cancer immunotherapy --- tumor microenvironment --- von Hippel–Lindau --- EMT like --- hyperosmolality --- chromophobe renal cell carcinoma --- copy number loss --- CDKN1A expression --- patient survival --- prognosis --- n/a

Listing 1 - 2 of 2
Sort by
Narrow your search

Publisher

MDPI - Multidisciplinary Digital Publishing Institute (2)


License

CC by-nc-nd (2)


Language

eng (2)


Year
From To Submit

2020 (2)