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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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Cancer Biomarker Research and Personalized Medicine
| Cancer Biomarker Research and Personalized Medicine |
| Autore | Meehan James |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (428 p.) |
| Soggetto topico |
Medicine
Oncology |
| Soggetto non controllato |
clear cell renal cell carcinoma
radiomics WHO/ISUP nuclear grade multiphasic multidetector computed tomography triple-negative breast cancer taxane chemotherapy GBP5 Akt/mTOR autophagy IL13Rα2 renal cell carcinoma JAK2 FOXO3 telmisartan ovarian cancer bioinformatics CREB1 drug perturbation lincRNA-p21 rectal cancer chemoradiotherapy colorectal cancer long non-coding RNA p53 predictive biomarker intestinal anastomosis anastomotic leak biomarkers precision medicine personalized medicine biomarker AmpliSeq DNA methylation epigenetics head and neck cancer saliva liquid biopsy meta-analysis gastric cancer middle-up-down haptoglobin glycopeptide mass spectrometry circulating tumor cells prostate cancer cancer vaccine immune response breast cancer predictive tools prognostic tools translational research IL6ST gp130 cytokine signalling tissue-based biomarkers liquid-based biomarkers radiotherapy radiosensitivity biomarkers secretome radioresistance bladder tumor lymphocyte-to-monocyte ratio peripheral blood parameters tumor recurrence transurethral resection lipidomics 1H-NMR LC-MS/MS lipoprotein subfractions lipoprotein lipase cancer biomarkers hepatocellular carcinoma p16 expression head and neck squamous cell carcinoma HPV genotyping exosomes chemoresistance comparative oncology One Health microRNA lymph node metastasis hormone-dependent carcinogenesis localized prostate cancer prognostic factors HNSCC |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674370003321 |
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Meehan James
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Malignant Mesothelioma
| Malignant Mesothelioma |
| Autore | L. Pouliquen Daniel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (328 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
well-differentiated papillary mesothelioma
WDPM malignant mesothelioma DNA sequencing mutation mesothelioma tumor suppressor targeted therapy immunotherapy biomarkers proteomics macrophage-capping protein fatty acid-binding protein laminin subunit beta-2 selenium-binding protein 1 carcinogenesis malignant pleural mesothelioma asbestos exposure DNA methylation lymphocyte-to-monocyte ratio epigenome-wide analysis survival analysis metabolomics radiotherapy cancers inflammation infiltrating immune cells prognostic biomarker predictive biomarker immune therapy VATS extrapleural pneumonectomy pleurectomy decortication therapy response survival FDG PET-CT mesothelium oxidative stress redox-sensitive factors asbestos carbon nanotubes protein-protein interactions systems biology network analysis drug repurposing pleural mesothelioma gene expression immunogenicity sarcomatoid epithelioid first line meta-analysis systematic review MPM lurbinectedin DNA damage response histotype Hippo pathway NF2 BAP1 CDKN2A PTCH1 SETD2 MTAP liquid biopsies circulating tumor DNA plasma cancer-specific mutations genomics cancer biomarkers tumor microenvironment tumor-associated macrophages dendritic cells immunohistochemistry interaction analysis pleural effusion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557359303321 |
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L. Pouliquen Daniel
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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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Precision oncology and cancer biomarkers [[electronic resource] ] : issues at stake and matters of concern / / Anne Bremer, Roger Strand
| Precision oncology and cancer biomarkers [[electronic resource] ] : issues at stake and matters of concern / / Anne Bremer, Roger Strand |
| Autore | Bremer Anne |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (288 p.) |
| Altri autori (Persone) | StrandRoger |
| Collana | Human Perspectives in Health Sciences and Technology |
| Soggetto topico |
Precision Medicine
Biomarkers, Tumor |
| Soggetto non controllato |
cancer biomarkers
Sociology of medicine Science and Technology Studies Oncology Philosophy of medicine precision oncology personalised cancer treatments health technology assessment Open access |
| ISBN | 3-030-92612-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555236203321 |
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Bremer Anne
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers
| Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers |
| Autore | Drabińska Natalia |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
liquid–liquid extraction
volatile compounds urine method optimization GC-MS 1H-NMR iron deficiency anaemia iron supplementation volatile organic compounds (VOCs) intestinal metabolome gut microbiome CDH microbiome VOCs spiroergometry outcome exhaled breath eNose smoking asthma COPD NTD-GC-MS breath lung cancer biomarkers volatile organic compounds urine analysis comprehensive two-dimensional gas chromatography kidney diseases urinary biomarkers hepatocellular carcinoma diagnosis headspace analysis untargeted analysis breath analysis cancer biomarkers volatolomics whole grain rye comprehensive two-dimensional gas chromatography–mass spectrometry dietary fiber e-nose electronic nose breathing rhythm mechanical ventilation anesthesia supplemental oxygen oxygen toxicity lipid peroxidation volatile aldehydes pentanal hexanal classification models dairy cows fecal headspace Mycobacterium avium ssp. paratuberculosis (MAP) paratuberculosis random forest stable air volatile organic compound (VOC) biomarker MCC–IMS ventilator-induced lung injury metabolome feces neonates fermentation protein carbohydrate short chain fatty acid metabolites volatile organic compound acute gastritis antibiotic treatment treatment dynamics: microbiota mid-infrared spectroscopy short-chain fatty acid alpha-keto acid Helicobacter pylori MOX sensors low sensing chamber volume calibration transfer standard samples piecewise direct standardization correlation alignment breath sampling pattern recognition |
| ISBN | 3-0365-5349-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463903321 |
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Drabińska Natalia
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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