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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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Biomechanical Spectrum of Human Sport Performance
| Biomechanical Spectrum of Human Sport Performance |
| Autore | TAIAR Redha |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (356 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D force modeling
3D motion analysis acceleration ankle injury anterior cruciate ligament anthropometric variables applied science in musculoskeletal disorders artistic gymnastics assessment automation balance ballet dancers barefoot basketball shoe Berlin Questionnaire biomechanics blood flow velocity center of mass chronic ankle instability comfort perception contact force modeling deep learning drop jump dynamics reconstruction Epworth Sleepiness Scale evaluation exercise flexibility flight time foot loading foot morphology football footwear forefoot functional Gait ground reaction forces H/Q ratio hamstring-to-quadriceps ratio Heel human behavior individualized training injury in sport injury prevention injury risk isometric jump throwing ability jumping kidney landing locomotion lower limb machine learning maneuver measurement acquisitions and techniques mechanical analyses of sports mechanical vibration metabolic syndrome minimalist index modeling and simulation in sport science movement movement screen multiscale entropy analysis muscle strength musculoskeletal pain neuromuscular activation neuromuscular training OpenPose optical flow optimal control orthosis overhead patellofemoral contact force patellofemoral contact stress patellofemoral joint pain syndrome performance peritoneal dialysis photoplethysmography physical fitness physical training intensity Pittsburgh Sleep Quality Index plantar pressure posture stability quality of life quantitative biomechanical parameters racket range of motion of the knees reliability robot-assisted training robotic therapy rowing biomechanics rowing simulator running screen self-motion perception signal complexity skin temperature slackline balancing sleep quality sport medicine sports engineering sports training stabilometry strength strength abilities strength and conditioning stroke subject-specific modeling surface electromyographic pattern swimming swing technique tendon based parallel robot tensile strength test texture analysis therapeutic exercises toes function torque traditional Chinese medicine training training of experts transversal vibration control treadmill running TUG two-dimensional video analysis type 2 diabetes mellitus Type 2 diabetes mellitus validity velocity vertical jump vibration virtual reality virtual reality simulator visual speed perception wavelet transform whole body vibration exercise whole-body vibration exercise work related neck pain young athletes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557497903321 |
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TAIAR Redha
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Phenolic Compounds: Extraction, Optimization, Identification and Applications in Food Industry
| Phenolic Compounds: Extraction, Optimization, Identification and Applications in Food Industry |
| Autore | Abu-Reidah Ibrahim M |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (250 p.) |
| Soggetto topico |
Biology, life sciences
Cultural studies: food and society Research and information: general |
| Soggetto non controllato |
anthocyanins
anti-proliferative antioxidant antioxidant activity bee pollen biotransformation by-product Cabernet Sauvignon concentrate carbon nanotubes (CNTs) cell viability cellulose/raspberry encapsulates chemometrics cinnamic acid derivatives coronavirus COVID-19 Dalbergia species DPPH free radical scavenging assay Echinacea purpurea extracts ellagitannins extraction methods fatty acid flavonoids food processing Fourier transform infrared spectroscopy geraniin glassy carbon electrode (GCE) HPLC-MS human health I-Class in vitro digestion industrial process inhibition of α-amylase kaempferol glycosides luteolin microencapsulation Moringa oleifera n/a nanofiltration natural products Nephelium lappaceum L. oleogels olive oil olive paste Phenol-Explorer phenol-explorer database phenolic compound phenolic compounds phenolics phenolomics phytochemicals phytosterol polyphenolic polyphenols potato peel pulmonary adenocarcinoma pumpkin seed oil quercetin glycosides reverse osmosis SARS-CoV separation storage storage follow-up Synapt G2-Si tocopherol total phenolic compound composition traditional Chinese medicine tricetin TWIMS U/A-AE ultrasound unripe grape juice UPLC-MS-MS verjuice |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Phenolic Compounds |
| Record Nr. | UNINA-9910576873003321 |
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Abu-Reidah Ibrahim M
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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