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,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,A general variable selection approach in the presence of missing data in both covariates and outcomes. This approach exploits the flexibility of machine learning modeling techniques and bootstrap imputation, which is amenable to nonparametric methods in which the effect sizes of predictor variables are not naturally defined as in parametric models. Six methods are considered and compared: XGBoost, Random Forests, Conditional Random Forests, Bayesian Additive Regression Trees, lasso, stepwise backward selection.
User: liangyuanhu
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,Methods for selecting diverse (molecular) database.
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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