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 | ||
|
Central Nervous System Metastases in Lung Cancer Patients: From Prevention to Diagnosis and Treatment |
Autore | Deepa S. Subramaniam |
Pubbl/distr/stampa | Frontiers Media SA, 2019 |
Descrizione fisica | 1 electronic resource (94 p.) |
Collana | Frontiers Research Topics |
Soggetto non controllato |
lung cancer
driver mutations treatment brain metastases leptomeningeal metastases cranial radiation prediction diagnosis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Central Nervous System Metastases in Lung Cancer Patients |
Record Nr. | UNINA-9910346749203321 |
Deepa S. Subramaniam | ||
Frontiers Media SA, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Radiolabelled Molecules for Brain Imaging with PET and SPECT |
Autore | Brust Peter |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (244 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences |
Soggetto non controllato |
SV2A
SV2B SV2C microPET [18F]UCB-H epilepsy PBIF distribution volume blocking assay preclinical imaging Alzheimer’s disease (AD) network measure graph theory brain network positron emission tomography (PET) persistent homology Phosphodiesterase 2A (PDE2A) Positron Emission Tomography (PET) Benzoimidazotriazine (BIT) fluorinated Mouse Liver Microsomes (MLM) cyclic nucleotide phosphodiesterase PDE2A radioligand nitro-precursor fluorine-18 in vitro autoradiography PET imaging opioid receptors positron emission tomography radiotracers μOR-, δOR-, κOR- and ORL1-ligands movement disorders pain drug dependence GBM biomarkers Sigma 1 Sigma 2 PD-L1 PARP IDH Alzheimer’s disease Parkinson’s disease β-amyloid plaques neurofibrillary tangles α-synucleinopathy diagnostic imaging probes orexin receptors PET radiotracer imaging alpha 7 nicotinic acetylcholine receptors nAChR autoradiography amino acid FET FACBC FDOPA immunoPET molecular imaging glioma brain metastases adenosine A2A receptor rotenone-based mouse model [18F]FESCH two-step one-pot radiosynthesis |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557295103321 |
Brust Peter | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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The Role of Modern Neuro-oncology in the Treatment of Primary CNS Tumors, and Brain and Spinal Metastases |
Autore | Vinicius Calfat Maldaun Marcos |
Pubbl/distr/stampa | Frontiers Media SA, 2020 |
Descrizione fisica | 1 electronic resource (111 p.) |
Soggetto topico |
Medicine
Oncology |
Soggetto non controllato |
neuro-oncology
CNS tumors brain metastases spinal metsatases gliomas meningeomas |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557705003321 |
Vinicius Calfat Maldaun Marcos | ||
Frontiers Media SA, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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