Topic: variable-selection Goto Github
Some thing interesting about variable-selection
Some thing interesting about variable-selection
variable-selection,Robust Sure Independence Screening using the Minimum Density Power Divergence Estimators
User: abhianik
variable-selection,MOSS: Multi-Omic integration via Sparse Singular Decomposition
User: agugonrey
variable-selection,Case studies on model assessment, model selection and inference after model selection
User: avehtari
Home Page: https://users.aalto.fi/~ave/casestudies.html
variable-selection,Knockoff-based analysis of GWAS summary statistics data
User: biona001
variable-selection,Variable Selection with Knockoffs
User: biona001
variable-selection,Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
Organization: boost-r
variable-selection,Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Organization: boost-r
variable-selection,Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
Organization: boost-r
variable-selection,A collection of some of my R Projects
User: bradyfisher
variable-selection,Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Organization: consbiol-unibern
Home Page: https://consbiol-unibern.github.io/SDMtune/
variable-selection,Variable Selection Network with PyTorch
User: ducnh279
variable-selection,Data preparation for data science projects.
User: eltoulemonde
variable-selection,Automated Bidirectional Stepwise Selection On Python
User: emirhankartal-py
variable-selection,Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
User: hannameyer
Home Page: https://hannameyer.github.io/CAST/
variable-selection,Stability Selection with Error Control
User: hofnerb
Home Page: https://cran.r-project.org/package=stabs
variable-selection,atlasqtl R package - Fast global-local hotspot QTL detection
User: hruffieux
variable-selection,locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
User: hruffieux
variable-selection,Sparse canonical correlation analysis
User: htpusa
variable-selection,Efficient Variable Selection for GLMs in R
User: jacobseedorff21
variable-selection,Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
User: jaredhuling
Home Page: http://jaredhuling.org/oem
variable-selection,Variable selection for heterogeneous populations using the vennLasso penalty
User: jaredhuling
Home Page: https://jaredhuling.github.io/vennLasso
variable-selection,sliced: scikit-learn compatible sufficient dimension reduction
User: joshloyal
Home Page: https://joshloyal.github.io/sliced/
variable-selection,OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
User: kstawiski
Home Page: https://kstawiski.github.io/OmicSelector/
variable-selection,Code and simulations using biologically annotated neural networks
Organization: lcrawlab
Home Page: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1009754
variable-selection,A statistical framework for feature selection and association mapping with 3D shapes
Organization: lcrawlab
variable-selection,Topological data analytic approach for discovering biophysical signatures in protein dynamics
Organization: lcrawlab
Home Page: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010045
variable-selection,Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
User: lorinanthony
variable-selection,Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
User: lorinanthony
variable-selection,Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
User: majianthu
Home Page: https://arxiv.org/abs/1910.12389
variable-selection,R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
User: majianthu
Home Page: https://cran.r-project.org/package=copent
variable-selection,Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
User: majianthu
Home Page: https://pypi.org/project/copent/
variable-selection,Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
User: mamba413
variable-selection,Conditional Distance Correlation based Statistical Method
User: mamba413
variable-selection,A regularized version of RBM for unsupervised feature selection.
User: meowoodie
variable-selection,BAS R package https://merliseclyde.github.io/BAS/
User: merliseclyde
Home Page: https://merliseclyde.github.io/BAS/
variable-selection,Awesome papers on Feature Selection
Organization: mlpapers
Home Page: https://mlpapers.org/feature-selection/
variable-selection,Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data
Organization: modal-inria
variable-selection,Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet
User: nanxstats
variable-selection,🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
User: nanxstats
Home Page: https://nanx.me/msaenet/
variable-selection,📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
User: nanxstats
Home Page: https://OHPL.io
variable-selection,Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
User: paythepizzo
variable-selection,Code and simulations using an Ensemble of Single-Effect Neural Networks (ESNN)
Organization: ramachandran-lab
Home Page: https://www.sciencedirect.com/science/article/pii/S2589004222008252
variable-selection,l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
Organization: slipguru
variable-selection,Projection predictive variable selection
Organization: stan-dev
Home Page: https://mc-stan.org/projpred/
variable-selection,PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
User: statalasso
Home Page: https://statalasso.github.io/
variable-selection,Python library of algorithms for selecting diverse subsets of data for machine-learning.
Organization: theochem
Home Page: https://selector.qcdevs.org
variable-selection,This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
User: tuoooliu666
variable-selection,Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)
User: zjg540066169
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