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