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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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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 |
62-XX - Statistics [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Data Mining Data analysis Data science Database 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-VAN00248672 |
| 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 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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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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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]
68N15 - Theory of programming languages [MSC 2020] 91Exx - Mathematical psychology [MSC 2020] 97-XX - Mathematics education [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-VAN00124161 |
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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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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-VAN00249855 |
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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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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 |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
ARIMA models
Categorical time series analysis Dynamic linear models GARCH models Long memory series Markov chain Monte Carlo methods 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-VAN00123779 |
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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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Visualization and Imputation of Missing Values : With Applications in R / Matthias Templ
| Visualization and Imputation of Missing Values : With Applications in R / Matthias Templ |
| Autore | Templ, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxii, 462 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Deep learning based imputation methods
Imputation methods for compositional data Imputation of missing data Imputation quality Incomplete data Missing data Multiple imputation Pre-analysis of data R package Robust imputation methods Simulation Simulation designs for imputation quality evaluation Visualization of missing values |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279094 |
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Templ, Matthias
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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