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An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.]
| An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / Alfonso Zamora Saiz ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xv, 276 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Data Mining Data analysis Data science Databases in R Descriptive Statistics Multivariate statistics R code R package Statistical inference Visualization Web scraping |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248672 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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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Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR / David Magis, Duanli Yan, Alina A. von Davier
| Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR / David Magis, Duanli Yan, Alina A. von Davier |
| Autore | Magis, David |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xx p171 ill. ; 24 cm |
| Altri autori (Persone) |
Davier, Alina : von
Yan, Duanli |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
97-XX - Mathematics education [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 91Exx - Mathematical psychology [MSC 2020] |
| Soggetto non controllato |
Assessment
Computerized adaptive testing Educational measurement Model evaluation Multistage testing Pyschometrics Quality control R package Simulation Teaching and evaluation Testing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124161 |
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Magis, David
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical analysis of network data with R / Eric D. Kolaczyk, Gábor Csárdi
| Statistical analysis of network data with R / Eric D. Kolaczyk, Gábor Csárdi |
| Autore | Kolaczyk, Eric D. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) | Csárdi, Gábor |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Dynamic networks
Graph visualization Network Flow Data Network Graph Network analysis Network data Networked Experiments R package R software Static Networks Statistical analysis igraph |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249855 |
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Kolaczyk, Eric D.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer
| Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer |
| Autore | Shumway, Robert H. |
| Edizione | [4. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiii, 562 p. : ill. ; 24 cm |
| Altri autori (Persone) | Stoffer, David S. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
ARIMA models
Categorical time series analysis Dynamic linear models GARCH models Long memory series Markov chain Monte Carlo integration method Multivariate spectral methods Nonlinear models R package Resampling techniques Spectral Analysis State-space analysis Stochastic volatility Wavelets integration method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123779 |
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Shumway, Robert H.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Wildlife Protection and Habitat Management : Practice and Perspectives
| Wildlife Protection and Habitat Management : Practice and Perspectives |
| Autore | Beltrán Juan F |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
road safety
roadkill clustering growth rate traffic intensity mitigation measures roadkill analysis movement patterns habitat characterisation multiple criteria multi-objective ranking environmental awareness machine learning random forest model structural equation modelling latent class analysis visitor mapping social-ecological systems cultural rural landscape protected areas rewilding rural socioeconomics forest expansion rural to urban land conversion biocultural heritage biodiversity naturalness land-cover change habitat quality InVEST ecosystem-based approach and assessment nature-based solution decision-making support national park management wildlife protection biodiversity conservation policy framework policy formulation China agricultural management amphibians beta diversity community ecology metacommunities constructed wetlands bats urban ecology long-term monitoring acoustics city parks community dynamics conservation evaluation at-risk species golden-winged warbler landowner incentives New England cottontail Natural Resources Conservation Service U.S. Department of Agriculture Working Lands for Wildlife camera-trapping conservation puma relative integrated anthropization index INRA South American grey fox habitat adaptability habitat model habitat selection habitat suitability use versus availability Maxent presence points GPS radio-collars anthropogenic variables species distribution models Spermophilus citellus maximum entropy modeling species distribution modeling climate change refugia urodela salamandridae caudata biosphere reserve habitat restoration species management life project activity patterns Lepus granatensis population decline niche Oryctolagus cuniculus roadside census predator-prey relationships spatio-temporal behavior abundance distance sampling population density R package wildlife survey uncertainty occupancy modeling road ecology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Wildlife Protection and Habitat Management |
| Record Nr. | UNINA-9910595076503321 |
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Beltrán Juan F
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Working with the american community survey in R : a guide to using the acs package / Ezra Haber Glenn
| Working with the american community survey in R : a guide to using the acs package / Ezra Haber Glenn |
| Autore | Glenn, Ezra Haber |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | VIII, 53 p. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Acs
Acs.R American Community Survey Census data Data structure Estimates Geographic output Margin of error R package Random sample Random sampling Sampling structure Statistical graphing US Census Bureau Urban studies Weighting |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115486 |
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Glenn, Ezra Haber
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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