Showing entries 17601-17700 out of 59458.
Utility Functions, Datasets and Extended Examples for Survival Analysis
Statistics Tutorials for Biologists
Initiation à La Statistique Avec R
Biostatistics and Clinical Data Analysis
Practical Functions for Biostatistics Beginners
Nested Data Summary, Adverse Events and REDCap
Standardized Processing and Analysis of Thermal Imaging Data in Animal Studies
Tools to Use and Explore the 'BioTIME' Database
Tools for Biometry and Applied Statistics in Agricultural Science
Image Processing Tools for Barnes Maze Experiments
Biological Data Analysis and Visualization
Visualizing the Elements Within Bio-Sequences
A Curated Collection of Biodiversity and Species Datasets and Utilities
Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Interactive Bipartite Graphs
Partition Bipartite Network into Non-Overlapping Biclusters by Optimizing Bipartite Modularity
Bootstrap on Classical Biplots and Clustering Disjoint Biplot
EZ-to-Use Biplots
Logistic Biplot Estimation Using Machine Learning Algorithms
Create Palettes from the Colors of the World's Birds
Deep Learning for Automated (Bird) Sound Identification
Methods to Analyse Ring Re-Encounter Data
Migration Traffic Rate Calculation Package for 'Birdscan MR1' Radars
Approximate Bayesian Inference via Sparse Grid Quadrature Evaluation (BISQuE) for Hierarchical Mod…
Decomposition of Bulk Expression with Single-Cell Sequencing
Cumulative History Analysis for Bistable Perception Time Series
Handle Bitfields to Record Meta Data
Read and Write Bits from Files, Connections and Raw Vectors
Bitmap Tools
Bivariate Automatic Analysis
Create Bivariate Choropleth Maps with 'Leaflet'
Creates Bivariate Maps
Bivariate Laplace Transforms, Stochastic Orders, and Entropy Measures in Reliability
Tolerance Interval and EIV Regression - Method Comparison Studies
Generation of Bivariate Uniform Data and Its Relation to Bivariate Binary Data
Conduct Univariate and Bivariate Wavelet Analyses
Bivariate Zero-Inflated Count Models Using Copulas
Backward Joint Model for the Dynamic Prediction of Both Time-to-Event and Longitudinal Outcomes