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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 online resource (418 p.) |
| Soggetto topico | Biotechnology |
| Soggetto non controllato |
activation induced deaminase
AID/APOBEC alternative splicing anti-cancer artificial intelligence bioinformatics Bioinformatics tool biomarker discovery biomarker signature biomarkers biostatistics brain brain metastases breast cancer breast cancer detection breast cancer prognosis Bufadienolide-like chemicals cancer cancer biomarker cancer biomarkers cancer CRISPR cancer modeling cancer prognosis cancer treatment cancer-related pathways cell-free DNA chemotherapy circulating tumor DNA (ctDNA) classification clinical/environmental factors colorectal cancer comorbidity score Computational Immunology concatenated deep feature copy number aberration copy number variation curation curative surgery datasets decision support systems deep learning denoising autoencoders differential gene expression analysis diseases genes DNA DNA sequence profile drug resistance epigenetics erlotinib estrogen extreme learning false discovery rate feature extraction and interpretation feature selection firehose functional analysis gefitinib gene expression analysis gene inactivation biomarkers gene loss biomarkers gene signature extraction genomic instability GEO DataSets head and neck cancer health strengthening herb hierarchical clustering analysis high-throughput analysis histopathological imaging histopathological imaging features HNSCC hormone sensitive cancers HP hTERT imaging independent prognostic power interaction intratumor heterogeneity knockoffs KRAS mutation locoregionally advanced machine learning meta-analysis methylation microarray miRNA miRNAs mitochondrial metabolism mixture of normal distributions molecular mechanism molecular subtypes Monte Carlo mortality multiple-biomarkers mutable motif mutation Neoantigen Prediction network analysis Network Analysis network pharmacology network target neurological disorders next generation sequencing observed survival interval omics omics profiles oral cancer ovarian cancer overall survival pancreatic cancer pathophysiology PD-L1 precision medicine predictive model protein R package RNA self-organizing map single-biomarkers single-cell sequencing skin cutaneous melanoma somatic mutation StAR steroidogenic enzymes survival analysis TCGA TCGA mining telomerase telomeres The Cancer Genome Atlas traditional Chinese medicine transcriptional signatures treatment de-escalation tumor tumor infiltrating lymphocytes tumor microenvironment variable selection |
| 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 online resource (428 p.) |
| Soggetto topico |
Medicine and Nursing
Oncology |
| Soggetto non controllato |
1H-NMR
Akt/mTOR AmpliSeq anastomotic leak autophagy bioinformatics biomarker biomarkers bladder tumor breast cancer cancer biomarkers cancer vaccine chemoradiotherapy chemoresistance chemotherapy circulating tumor cells clear cell renal cell carcinoma colorectal cancer comparative oncology CREB1 cytokine signalling DNA methylation drug perturbation epigenetics exosomes FOXO3 gastric cancer GBP5 glycopeptide gp130 haptoglobin head and neck cancer head and neck squamous cell carcinoma hepatocellular carcinoma HNSCC hormone-dependent carcinogenesis HPV genotyping IL13Rα2 IL6ST immune response intestinal anastomosis JAK2 LC-MS/MS lincRNA-p21 lipidomics lipoprotein lipase lipoprotein subfractions liquid biopsy liquid-based biomarkers localized prostate cancer long non-coding RNA lymph node metastasis lymphocyte-to-monocyte ratio mass spectrometry meta-analysis microRNA middle-up-down multiphasic multidetector computed tomography n/a One Health ovarian cancer p16 expression p53 peripheral blood parameters personalized medicine precision medicine predictive biomarker predictive tools prognostic factors prognostic tools prostate cancer radiomics radioresistance radiosensitivity biomarkers radiotherapy rectal cancer renal cell carcinoma saliva secretome taxane telmisartan tissue-based biomarkers translational research transurethral resection triple-negative breast cancer tumor recurrence WHO/ISUP nuclear grade |
| 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 online resource (328 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
asbestos
asbestos exposure BAP1 biomarkers cancer biomarkers cancer-specific mutations cancers carbon nanotubes carcinogenesis CDKN2A circulating tumor DNA dendritic cells DNA damage response DNA methylation DNA sequencing drug repurposing epigenome-wide analysis epithelioid extrapleural pneumonectomy fatty acid-binding protein FDG first line gene expression genomics Hippo pathway histotype immune therapy immunogenicity immunohistochemistry immunotherapy infiltrating immune cells inflammation interaction analysis laminin subunit beta-2 liquid biopsies lurbinectedin lymphocyte-to-monocyte ratio macrophage-capping protein malignant mesothelioma malignant pleural mesothelioma mesothelioma mesothelium meta-analysis metabolomics MPM MTAP mutation n/a network analysis NF2 oxidative stress PET-CT plasma pleural effusion pleural mesothelioma pleurectomy decortication predictive biomarker prognostic biomarker protein-protein interactions proteomics PTCH1 radiotherapy redox-sensitive factors sarcomatoid selenium-binding protein 1 SETD2 survival survival analysis systematic review systems biology targeted therapy therapy response tumor microenvironment tumor suppressor tumor-associated macrophages VATS WDPM well-differentiated papillary mesothelioma |
| 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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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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