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 | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Urological Cancer 2021 |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (328 pages) |
Soggetto topico |
Research
Chemistry |
Soggetto non controllato |
bladder cancer
radiotherapy radiosensitisation molecular subtypes preclinical studies bladder cancer cell lines latent cancer prostate cancer autopsy prognostic index prediction model mortality screening trial renal cell carcinoma PD-1 PD-L1 biomarkers immune checkpoint inhibitors prostatic neoplasms positron-emission tomography decision making tumor thrombus metastasectomy postoperative complications oncological outcomes radical cystectomy AHNAK2 prognosis dog comparative oncology inflammation prostatic atrophy preneoplastic lesion biomarker urine machine learning TRIPOD liquid biopsy glutaminase immunohistochemistry in situ methods prostate PSMA-RLT 177Lu-PSMA PSA mCRPC urinary bladder neoplasms Bacillus Calmette-Guérin (BCG) immunotherapy divergent differentiation variant morphology survival stereotactic body radiotherapy frail patients cancer metastasis genomic analysis microenvironment tumor ecology game theory fluorescence confocal microscopy prostate biopsy ablation margins focal therapy sphingosine 1-phosphate receptor 1 bladder carcinoma cell migration epithelial-mesenchymal transition FTY-720 OIP5 papillary renal cell carcinoma PLK1 tumorigenesis therapy image-guided magnetic resonance imaging ultrasonography biopsy abiraterone enzalutamide docetaxel novel hormonal therapies comparative effectiveness real-world treatment pattern metastatic prostate cancer epiplakin diagnosis advanced urothelial carcinoma immune checkpoint inhibitor prognostic tumour mutational board genomic signatures ctDNA inflammatory indices urothelial carcinoma frailty prognostic factor psoas muscle Hounsfield units |
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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