Biocview "SupportVectorMachine"

Alikeness Based on Regression on Transciptome DECOnvolution

A tool for quantification of associations between genotypes and phenotypes in genome wide association studies (GWAS) with Bayesian inference and statistical learning

A tool for unsupervised projection of single cell RNA-seq data

Functions to creation of low dimensional comparative matrices of Amino Acid Sequence occurrences

genphen: tool for quantification of genotype-phenotype associations in genome wide association studies (GWAS)

Hierarchical ensemble method based on factor graph

Kernel-Based Analysis Of Biological Sequences

Learning from DNA to Predict Enhancers

Minimized Single-Cell Consensus Clustering

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Prediction of Oligomerization of Coiled Coil Proteins

Pretrained learning models for cell type prediction on single cell RNA-sequencing data

Quality Control for Single-Cell RNA-seq Data

scReClassify: post hoc cell type classification of single-cell RNA-seq data

sigFeature: Significant feature selection using SVM-RFE & t-statistic

Single-Cell Consensus Clustering

SVM2CRM: support vector machine for cis-regulatory elements detections

TNBC.CMS: Prediction of TNBC Consensus Molecular Subtypes

Biocview "SupportVectorMachine"

R Package Documentation

Browse R Packages

We want your feedback!