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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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Urological Cancer 2021
| Urological Cancer 2021 |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (328 p.) |
| Soggetto topico |
Chemistry
Research & information: general |
| Soggetto non controllato |
177Lu-PSMA
abiraterone ablation margins advanced urothelial carcinoma AHNAK2 autopsy Bacillus Calmette-Guérin (BCG) biomarker biomarkers biopsy bladder cancer bladder cancer cell lines bladder carcinoma cancer cell migration comparative effectiveness comparative oncology ctDNA decision making diagnosis divergent differentiation docetaxel dog enzalutamide epiplakin epithelial-mesenchymal transition fluorescence confocal microscopy focal therapy frail patients frailty FTY-720 game theory genomic analysis genomic signatures glutaminase Hounsfield units image-guided immune checkpoint inhibitor immune checkpoint inhibitors immunohistochemistry immunotherapy in situ methods inflammation inflammatory indices latent cancer liquid biopsy machine learning magnetic resonance imaging mCRPC metastasectomy metastasis metastatic prostate cancer microenvironment molecular subtypes mortality n/a novel hormonal therapies OIP5 oncological outcomes papillary renal cell carcinoma PD-1 PD-L1 PLK1 positron-emission tomography postoperative complications preclinical studies prediction model preneoplastic lesion prognosis prognostic prognostic factor prognostic index prostate prostate biopsy prostate cancer prostatic atrophy prostatic neoplasms PSA PSMA-RLT psoas muscle radical cystectomy radiosensitisation radiotherapy real-world treatment pattern renal cell carcinoma screening trial sphingosine 1-phosphate receptor 1 stereotactic body radiotherapy survival therapy TRIPOD tumor ecology tumor thrombus tumorigenesis tumour mutational board ultrasonography urinary bladder neoplasms urine urothelial carcinoma variant morphology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576872803321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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