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68 search results found
H2o 3
⭐
6,618
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Harmony
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460
Fast, sensitive and accurate integration of single-cell data with Harmony
H2o4gpu
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421
H2Oai GPU Edition
Parameters
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390
📊 Computation and processing of models' parameters
Pcatools
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297
PCAtools: everything Principal Components Analysis
Factoextra
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226
Extract and Visualize the Results of Multivariate Data Analyses
Teachingdemos
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216
Bioinformatics related demos and tutorials using the R programming language
Ml Course
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168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Tidybulk
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153
Brings bulk and pseudobulk transcriptomics to the tidyverse
Miscellaneous R Code
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140
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
Tidyseurat
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131
Seurat meets tidyverse. The best of both worlds.
Irlba
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106
Fast truncated singular value decompositions
Snprelate
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90
R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)
Rsvd
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76
Randomized Matrix Decompositions using R
Scrna2019
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48
supporting code for the multinomial single cell RNA-Seq paper
Interactive_pca_explorer
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40
Shiny app for exploring a PCA
Spca
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33
Sparse Principal Component Analysis (SPCA) using Variable Projection
Ml Simulations
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28
Animated Visualizations of Popular Machine Learning Algorithms
Nanny
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27
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
Countclust
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25
A R package for Grade of Membership model and Visualization of counts data:
Phv
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24
光伏短期功率预测大赛 代码
Pcamethods
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23
Perform PCA on data with missing values in R
Omicspls
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20
R package for High dimensional data analysis and integration with O2PLS!
Models By Example
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19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Mfpca
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19
Multivariate Functional Principal Component Analysis
Spatpca
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18
R Package: Regularized Principal Component Analysis for Spatial Data
Bioc_2020_tidytranscriptomics
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18
Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap
Projector
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16
Project Dense Vectors Text Representation on 2D Plan
Generalizedpca
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15
Dimensionality reduction for exponential family data by extending PCA
Dropclust
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15
Version 2.1.0 released
Jackstraw
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14
Statistical Inference for Unsupervised Learning
Scry
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14
Collection of analysis methods for small count data generated by rafalab members (the methods, not the data).
Gads4
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14
General Assembly Section 4 Class
Rchemo
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13
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Utility_scripts
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13
Scripts for population genetics analysis
Pbdml
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13
Latent Variable Models Workshop 2019
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12
A workshop on latent variables models including factor analysis, PCA, SEM, etc.
Pathwaypca
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11
integrative pathway analysis with modern PCA methodology and gene selection
Holodeck
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11
A Tidy Interface for Simulating Multivariate Data
Bigutilsr
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10
R package with utility functions for large-scale data
Statistical Analysis Functions
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10
A set of R scripts that perform certain statistical analyses, wrapped up into a function that can be called on the commandline. Currently performs PCA, K-means, and hierarchical clustering using tab-delimited input with a header row
Epca
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10
Exploratory Principal Component Analysis
Models
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10
NLP models
Rnirs
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10
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
Gosummaries
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10
Cocoa
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9
Annotating epigenetic variation among samples with region sets in R
Ac Pca
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9
AC-PCA: simultaneously performs dimension reduction and adjustment for confounding variation
Popstructure
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9
R Models
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9
A quick reference for how to run many models in R.
Metmsline
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8
R functions for automation of biomarker discovery based on processing downstream of large LC-MS datasets from any peak picking software
Machine Learning
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8
Basic Machine Learning Tutorial
Statistical Methods And Machine Learning In R
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8
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
Scpca
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8
A toolbox for sparse contrastive principal component analysis
Data4pccar
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8
data4PCCAR: A R-collection of data sets and tools to illustrate Abdi & Beaton (2021) Principal Component and Correspondence Analyses with R.
Covfactormodel
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8
Covariance Matrix Estimation via Factor Models
Rospca
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7
Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)
Bpca
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7
Bayesian Principal Components Analysis (bPCA)
Arseq
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7
An Automated RNASeq Analysis Pipeline (Differential expression to gene enrichment)
Masspix
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7
Nsprcomp
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7
An R package for non-negative and sparse PCA
Multitable_review
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6
Code to accompany "Multitable Methods for Microbiome Data Integration"
Sparseeigen
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6
Computation of Sparse Eigenvectors of a Matrix
Fastpca
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6
FastPCA using PRIMME
Gaudinier2018
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5
Code for Gaudinier et al 2018
Twitter Analysis Shiny App
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5
A simple Shiny application written in R that visualizes Twitter data
Vcfpca
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5
Hastalavista
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5
R package that provide interactive graphical interface for metabolic profiling
Kaggle Bci Challenge
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5
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