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Application of Bioinformatics in Cancers
| Application of Bioinformatics in Cancers |
| Autore | Brenner J. Chad |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (418 p.) |
| Soggetto non controllato |
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 |
| ISBN | 3-03921-789-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743403321 |
Brenner J. Chad
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics Tools (and Web Server) for Cancer Biomarker Development
| Bioinformatics Tools (and Web Server) for Cancer Biomarker Development |
| Autore | Guo Xiangqian |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 electronic resource (197 p.) |
| Soggetto topico |
Medicine
Oncology |
| Soggetto non controllato |
bioinformatics
webserver prognostic biomarker TCGA GEO RNA sequence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Bioinformatics Tools |
| Record Nr. | UNINA-9910557492403321 |
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Guo Xiangqian
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Physiology, Biochemistry, and Pharmacology of Transporters for Organic Cations
| Physiology, Biochemistry, and Pharmacology of Transporters for Organic Cations |
| Autore | Ciarimboli Giuliano |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
transporters
endogenous metabolism functional subgroups SLC22 remote sensing and signaling drug transporters gut microbiome chronic kidney disease solute carrier 22 (SLC22) Remote Sensing and Signaling Theory interorgan communication organic anion transporter organic cation transporter SLC22A15 SLC22A16 SLC22A18 kidney Malpighian tubule TCGA human pathology atlas gene ontology organic cations transport kidneys regulation Nuclear receptor renal excretion bile acids organic cation transporters drug disposition genetic polymorphisms drug-induced kidney injury nephrotoxicity RA Tofacitinib Baricitinib MATE1 solute carrier (SLC) family OCT1 SLC22A1 species differences drugs pesticides cisplatin nephrotoxicity PPAR-alpha organic transporters serotonin transporter plasma membrane monoamine transporter ketamine isoflurane serotonin clearance antidepressant-like activity chronoamperometry tail suspension test forced swim test hepatotoxicity solute carrier pulmonary drug delivery SLC22A1-5 lung epithelium drug uptake β2-agonists chronic lung diseases anticholinergics trospium OCT MATE drug excretion drug transport |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557346203321 |
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Ciarimboli Giuliano
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Developments in Cancer Systems Biology
| Recent Developments in Cancer Systems Biology |
| Autore | Sinha Raghu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
Sestrin2
lung cancer knockdown cancer progression bioinformatics patient survival lung adenocarcinoma circulating miR-1246 glycosaminoglycan binding prognosis PI3K-Akt signaling pathways TargetScan UBE2C cancer systems biology experimental model systems next-generation sequencing single-cell sequencing patient-derived xenografts patient-derived organoids triple-negative breast cancer personalized medicine computational methods drug repurposing clinical trials cancer stem cells ETS Elk-1 stem cell microarray brain-tumor-initiating cell (BTIC) pancreatic cancer systems biology omics biomarker genomics transcriptomics proteomics metabolomics glycomics metagenomics Ets PEA3 Ets-1 glioma optical genome mapping solid tumors cancer genomics breast ovarian cancer TCGA non-small-cell lung cancer lung adenocarcinoma (LUAD) lung squamous cell carcinoma (LUSC) differential expression SNV CNV risk group signature survival renal cancers protein interactome diagnostic biomarker prognostic biomarker virtual screening docking acute myeloid leukemia Boolean model drug resistance network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557768503321 |
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Sinha Raghu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renal Cell Carcinoma
| Renal Cell Carcinoma |
| Autore | López José I |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (500 p.) |
| Soggetto topico |
Renal cell carcinoma
Kidneys - Cancer |
| Soggetto non controllato |
N-glycomapping
SMAD proteins patient survival pro-IL-1? survival prediction inflammation markers tumor migration prognostic factors practical approach circular RNAs in a clinico-genomic predictive model glycomarkers review nephrectomy uric acid VEGF inhibitors metabolic reprogramming collecting duct carcinoma curcumin metabolome profiling identification of circular RNAs IL-2 experimental validation of circular RNA Raf/MEK/ERK HOT PI3K/Akt/mTOR pentose phosphate pathway kidney cancer LOT mutation RCC polybromo-1 pale cell MMP-9 gene expression recurrence free survival chromosomal loss IL-1? chronic kidney disease glutathione transferase omega 2 label-free glutathione transferase omega 1 emerging entity copy number alteration FOXO3 predictive role tumor slice culture tyrosine kinase inhibitors PPP ESC CDKN1A expression metastasis PD-L1 diagnostic and prognostic markers EVI1 copy number loss RNA sequencing NK cells glutathione metabolism clear cell renal cell carcinoma renal cell cancer proliferation eosinophilic variant Xp11 translocation renal cell carcinoma prognosis invasion immune infiltration IL4R? FISH 11) translocation renal cell carcinoma tumor microenvironment metabolome hyperosmolality toxicity ALK drug sensitivity t(6 copy number analysis urine genetic association polymorphism solute carrier proteins kidney metastatic ccRCC molecular genetic features recurrence-free survival chromophobe renal cell carcinoma unclassified renal tumor overall survival mTOR inhibitors mTOR JAK2 von Hippel-Lindau miR-155-5p glycoproteomics PBRM1 miR-133b survival TFE3 TFEB oncocytic renal tumor immune checkpoint inhibitors biomarker MMP10 TCGA ghrelin EMT like checkpoint inhibitors MiT family translocation renal cell carcinoma gene signature sarcomatoid transforming growth factor beta clear cell Renal Cell Carcinoma tumor adhesion renal cancer unclassified renal cell carcinoma Papillary renal cell carcinoma (pRCC) miR-146a-5p renal cell everolimus integrins cytoreductive nephrectomy immunotherapy predictive factors immunohistochemistry MTA2 IL13R?1 targeted therapy intratumour heterogeneity aurora A TCA cycle AMP-activated protein kinases cancer-specific survival programmed death-ligand 1 efficacy renal cell carcinoma anaplastic lymphoma kinase rearrangement TFEB-amplified renal cell carcinoma statins cancer immunotherapy microRNA new entity proteome profiling |
| ISBN | 3-03928-639-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404087003321 |
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López José I
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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