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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 online resource (128 p.)
Soggetto topico Biology, life sciences
Soggetto non controllato allele-specific analysis
bone marrow cell subpopulations
Cladobotryum protrusum
cobweb disease
cytochrome P450 enzyme (CYP)
de novo assembly
de novo genome assembly
DNA methylation
full length RNAseq
gene expression
Gloeostereum incarnatum
GRCh38
human reference genome
human whole-genome sequencing
insect genome
long-read SMRT sequencing
low-input DNA
mosquito
mRNA isoforms
mycoparasite
n/a
next generation sequencing
optical mapping
PacBio
PacBio single molecule real-time sequencing
population sequencing
protein isoforms
secondary metabolite
single molecule real-time sequencing
SMRT sequencing
statistical methods
Swedish population
terpenoid
Tricoplusia ni
whole genome sequencing
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  
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 online resource (218 p.)
Soggetto topico Archaeology
Biography and non-fiction prose
Soggetto non controllato airborne laser scanning
alluvial sediments
ALS
amplitude
anomaly detection
archaeological prospection
archaeological remote sensing
archaeological survey
archaeology
arid environments
blend modes
chert sourcing
citizen science
cropmarks
cultural context
cultural heritage monitoring
deep learning
digital elevation model
empirical knowledge
geomorphological/pedological background
GIS
heritage management
historic mining
hyperspectral data
Landsat 8
lidar
LiDAR
lithic procurement
lithological mapping
Martin Heidegger
mimesis
MNF
n/a
radiative transfer model
radiometric calibration
reflectance
relief mapping
remote sensing archaeology
satellite archaeology
satellite mission design
satellite remote sensing
Sicily
soil spatial infrastructure
statistical methods
submerged areas
technology
The Netherlands
transfer learning
visualization
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
Verhoeven Geert  
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 online resource (248 p.)
Soggetto topico Medicine
Soggetto non controllato aging
biomarker
blood plasma
breast cancer
C19MC microRNA
CDH1
cell-free DNA
cell-free DNAs
cell-free nucleic acids
cell-free RNAs
cfDNA
circulating miRNA
circulating nucleic acids
circulating tumor cells
copy number variants
deletion/insertion polymorphism
DNA
embryo culture medium
exosomes
expression
extracellular vesicles
fetal cells
fetal DNA
fetal fraction
fetal growth restriction
gender differences
genetic marker
gestational diabetes mellitus
gestational hypertension
growth retardation
hematopoietic stem cell transplantation
individualized patient profile
inflammatory bowel disease
leiomyomas
leiomyosarcomas
liquid biopsy
mammography
maternal serum screening
microchimerism
miRNA
multi-level diagnostics
n/a
NanoString
NETosis
network analysis
neutrophil extracellular traps
next generation sequencing
NGS
NIPT
non-invasive prenatal testing
nuclease activity
obesity
omics
ovarian cancer
PAX1
personalized medicine
piRNA
plasma
population study
prediction
predictive and preventive approach
preeclampsia
pregnancy-related complications
PTEN
pyrosequencing
RASSF1
RT-PCR
sarcomas
screening
single nucleotide polymorphism
solid organ transplantation
statistical methods
statistical models
z-score
ISBN 3-03928-075-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372783603321
Nagy Bálint  
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
Attewell Paul A. <1949->  
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
Attewell Paul A. <1949->  
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 online resource (202 p.)
Soggetto topico Environmental economics
Pollution control
Research & information: general
Soggetto non controllato ambient background values
anthropogenic pressure
arsenic
cadmium
chromium
component separation method
conceptual model
confidence level
copper
Croatia
Denmark
Ferrara
geostatistics
groundwater
groundwater body
groundwater level
groundwater monitoring
groundwater quality
hexavalent chromium
Italian guidelines
Lanzo Massif
LOQ
modified Lepeltier method
n/a
natural background
natural background level
natural background levels
neutral mine drainage
nickel
nitrates
ophiolites
parameters estimation
pre-selection method
preselection
probability plot
site-specific data
sites under remediation
software implementation
spatial distribution modeling
statistical methods
t-test
trace element
trace metals
ultramafic rocks
water quality
zinc
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566465203321
Preziosi Elisabetta  
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 online resource (94 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D-Var
arthropod vector
attribute reduction
climate extreme indices (CEIs)
ClimPACT
core attribute
data assimilation
data imputation
data quality
data scarcity
Dataset Licensedatabase
decision trees
earth-science data
ensemble learning
environmental modeling
environmental observations
Expert Team on Climate Change Detection and Indices (ETCCDI)
Expert Team on Sector-specific Climate Indices (ET-SCI)
geophysical monitoring
GLDAS
invasive species
k-Nearest Neighbors
machine learning
magnetotelluric monitoring
microhabitat
missing data
multi-class classification
processing
remote sensing
rough set theory
rule extraction
soil texture calculator
species distribution modeling
statistical methods
support vector machines
water quality
ISBN 3-03928-211-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404080803321
Etcheverry Venturini Lorena  
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
van de Schoot Rens  
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
Hoppitt William  
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 online resource (180 p.)
Soggetto topico Environmental science, engineering and technology
Technology: general issues
Soggetto non controllato Bayesian predictive distribution
California
clustering
corner magnitude
coulomb failure stress
DBSCAN algorithm
earthquake catalogs
earthquake clustering
earthquake forecasting
earthquake forecasting model
earthquake likelihood models
earthquake simulator
earthquake-prone areas
epidemic type aftershock sequence model
extreme value distribution
foreshocks and aftershocks
global seismicity
high seismicity criteria
machine learning
magnitude-frequency distribution
markovian arrival processes
n/a
New Zealand
northern and central Apennines
numerical modeling
pattern recognition
precursors
preparatory phase
seismic cycle
seismic prediction
seismicity clustering
seismicity patterns
smoothed seismicity methods
statistical methods
statistical seismology
system-analytical method
tapered Gutenberg-Richter
tapered Pareto
tidal triggering of earthquakes
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674369603321
Gentili Stefania  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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