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Advances in Single Molecule, Real-Time (SMRT) Sequencing
| Advances in Single Molecule, Real-Time (SMRT) Sequencing |
| Autore | Ameur Adam |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto non controllato |
Cladobotryum protrusum
allele-specific analysis low-input DNA full length RNAseq de novo genome assembly de novo assembly human reference genome Tricoplusia ni PacBio single molecule real-time sequencing secondary metabolite protein isoforms bone marrow cell subpopulations DNA methylation mycoparasite human whole-genome sequencing GRCh38 SMRT sequencing cytochrome P450 enzyme (CYP) mRNA isoforms next generation sequencing cobweb disease Swedish population mosquito long-read SMRT sequencing whole genome sequencing terpenoid insect genome optical mapping Gloeostereum incarnatum population sequencing statistical methods gene expression single molecule real-time sequencing PacBio |
| ISBN | 3-03921-701-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Single Molecule, Real-Time |
| Record Nr. | UNINA-9910367745503321 |
Ameur Adam
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory
| Archaeological Remote Sensing in the 21st Century: (Re)Defining Practice and Theory |
| Autore | Verhoeven Geert |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico |
Biography & True Stories
Archaeology |
| Soggetto non controllato |
relief mapping
visualization blend modes digital elevation model airborne laser scanning lidar archaeological prospection deep learning citizen science The Netherlands archaeology arid environments satellite remote sensing lithological mapping lithic procurement chert sourcing Landsat 8 GIS ALS amplitude radiometric calibration reflectance Sicily transfer learning historic mining heritage management LiDAR hyperspectral data submerged areas cultural heritage monitoring anomaly detection MNF radiative transfer model Martin Heidegger technology mimesis remote sensing archaeology cultural context archaeological remote sensing satellite mission design satellite archaeology archaeological survey cropmarks empirical knowledge alluvial sediments geomorphological/pedological background soil spatial infrastructure statistical methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Archaeological Remote Sensing in the 21st Century |
| Record Nr. | UNINA-9910674394303321 |
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Verhoeven Geert
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cell-Free Nucleic Acids
| Cell-Free Nucleic Acids |
| Autore | Nagy Bálint |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto non controllato |
screening
single nucleotide polymorphism predictive and preventive approach PTEN cell-free DNAs fetal fraction gestational hypertension RASSF1 CDH1 RT-PCR cfDNA statistical models hematopoietic stem cell transplantation NanoString solid organ transplantation copy number variants sarcomas liquid biopsy obesity fetal DNA neutrophil extracellular traps mammography non-invasive prenatal testing ovarian cancer circulating miRNA pyrosequencing growth retardation preeclampsia gestational diabetes mellitus biomarker inflammatory bowel disease multi-level diagnostics PAX1 population study nuclease activity NETosis omics piRNA cell-free DNA prediction leiomyosarcomas network analysis NGS statistical methods circulating nucleic acids deletion/insertion polymorphism gender differences leiomyomas fetal growth restriction blood plasma exosomes miRNA pregnancy-related complications NIPT genetic marker cell-free nucleic acids extracellular vesicles expression next generation sequencing breast cancer individualized patient profile circulating tumor cells maternal serum screening personalized medicine embryo culture medium C19MC microRNA DNA cell-free RNAs z-score fetal cells microchimerism aging plasma |
| ISBN | 3-03928-075-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372783603321 |
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Nagy Bálint
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910788152303321 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910814373503321 |
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Attewell Paul A. <1949->
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| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Natural Background Levels in Groundwater
| Natural Background Levels in Groundwater |
| Autore | Preziosi Elisabetta |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (202 p.) |
| Soggetto topico |
Research & information: general
Environmental economics Pollution control |
| Soggetto non controllato |
ambient background values
probability plot modified Lepeltier method pre-selection method LOQ groundwater body Croatia natural background levels software implementation parameters estimation statistical methods component separation method groundwater quality groundwater level geostatistics t-test spatial distribution modeling natural background conceptual model preselection nitrates confidence level arsenic sites under remediation site-specific data Ferrara trace metals Lanzo Massif ultramafic rocks ophiolites chromium hexavalent chromium nickel neutral mine drainage groundwater Italian guidelines cadmium copper zinc Denmark natural background level water quality anthropogenic pressure trace element groundwater monitoring |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566465203321 |
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Preziosi Elisabetta
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Overcoming Data Scarcity in Earth Science
| Overcoming Data Scarcity in Earth Science |
| Autore | Etcheverry Venturini Lorena |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (94 p.) |
| Soggetto non controllato |
geophysical monitoring
data scarcity missing data climate extreme indices (CEIs) rule extraction Dataset Licensedatabase data assimilation data imputation support vector machines environmental observations multi-class classification earth-science data remote sensing magnetotelluric monitoring soil texture calculator machine learning ClimPACT invasive species species distribution modeling 3D-Var ensemble learning data quality water quality microhabitat k-Nearest Neighbors Expert Team on Climate Change Detection and Indices (ETCCDI) decision trees processing attribute reduction Expert Team on Sector-specific Climate Indices (ET-SCI) core attribute rough set theory GLDAS arthropod vector environmental modeling statistical methods |
| ISBN | 3-03928-211-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080803321 |
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Etcheverry Venturini Lorena
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević
| Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević |
| Autore | van de Schoot Rens |
| Pubbl/distr/stampa | Taylor & Francis, 2020 |
| Descrizione fisica | 1 online resource (xiv, 269 pages) : digital, PDF file(s) |
| Disciplina | 001.42 |
| Collana | European Association of Methodology series |
| Soggetto topico |
Research - Methodology
Data sets |
| Soggetto non controllato |
statistical methods
researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis |
| ISBN |
1-000-76101-0
1-000-76108-8 0-367-22222-1 0-429-27387-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction (Van de Schootand Miočević) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Miočević, Levy,and van de Schoot) 2.The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets (Miočević, Levy,and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics(van de Schoot, Veen, Smeets, Winter,and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research(Rioux, Stickley, Odejimi,and Little) 15. Small samples in multilevel modeling(Hoxand McNeish) 16. Small sample solutions for structural equation modeling(Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index |
| Record Nr. | UNINA-9910377813603321 |
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van de Schoot Rens
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| Taylor & Francis, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social learning [[electronic resource] ] : an introduction to mechanisms, methods, and models / / William Hoppitt and Kevin N. Laland
| Social learning [[electronic resource] ] : an introduction to mechanisms, methods, and models / / William Hoppitt and Kevin N. Laland |
| Autore | Hoppitt William |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2013 |
| Descrizione fisica | 1 online resource (320 p.) |
| Disciplina | 591.5/14 |
| Altri autori (Persone) | LalandKevin N |
| Soggetto topico |
Learning in animals - Research - Methodology
Social learning - Research - Methodology Psychology, Comparative - Research - Methodology |
| Soggetto non controllato |
Aristotle
acquisition animal culture animals asocial learning behavior behavioral repertoires behavioral research behavioral trait biological evolution causal modeling child development children controlled diffusion cultural evolution cultural transmission decision making developmental methods diffusion curve analysis diffusion data diffusion experiments diffusion of innovation diffusion ecological hypothesis experimental manipulations fear frequency-dependent biases gene-culture coevolution genetic hypothesis group contrasts approach hierarchical control imitation inadvertent coaching innovation laboratory experiments learning heuristics mathematical methods meta-strategies model-fitting approach modeling network-based diffusion analysis neural circuitry neuroendocrinological studies neutral models observational conditioning observational data observational learning opportunity providing option choice random copying reaction-diffusion models research methods response facilitation social experience social facilitation social foraging theory social learning mechanisms social learning research social learning strategies social learning social network social transmission statistical methods statistical modeling stimulus enhancement success biases translocation experiments transmission chains |
| ISBN |
9780691150710
1400846501 1299652131 |
| Classificazione | CZ 8000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Acknowledgments -- Social Learning -- Chapter 1. Introduction -- Chapter 2. A Brief History of Social Learning Research -- Chapter 3. Methods for Studying Social Learning in the Laboratory -- Chapter 4. Social Learning Mechanisms -- Chapter 5. Statistical Methods for Diffusion Data -- Chapter 6. Repertoire- Based Methods for Detecting and Quantifying Social Transmission -- Chapter 7. Developmental Methods for Studying Social Learning -- Chapter 8. Social Learning Strategies -- Chapter 9. Modeling Social Learning and Culture -- Chapter 10. Conclusions -- References -- Index |
| Record Nr. | UNINA-9910790946703321 |
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Hoppitt William
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| Princeton, : Princeton University Press, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity
| Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity |
| Autore | Gentili Stefania |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
system-analytical method
earthquake-prone areas pattern recognition clustering machine learning earthquake catalogs high seismicity criteria tidal triggering of earthquakes seismic cycle coulomb failure stress preparatory phase seismic prediction earthquake forecasting precursors statistical seismology earthquake likelihood models seismicity patterns New Zealand California smoothed seismicity methods global seismicity foreshocks and aftershocks earthquake forecasting model statistical methods magnitude-frequency distribution corner magnitude tapered Pareto tapered Gutenberg-Richter epidemic type aftershock sequence model extreme value distribution Bayesian predictive distribution seismicity clustering DBSCAN algorithm markovian arrival processes numerical modeling earthquake simulator earthquake clustering northern and central Apennines |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674369603321 |
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Gentili Stefania
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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