OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data

FRASER - Find RAre Splicing Events in RNA-seq

Accompanying analysis code for the FRASER manuscript

Interactive and Reproducible Data Cleaning

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Outlier detection based on random forest models

Extended Isolation Forests for Anomaly/Outlier Detection in R

Multivariate Outlierdetection In Contingency Tables

Genome scans for selection and introgression based on k‐nearest neighbour techniques.

Outlier detection in multiple sequence alignment

Visualize multidimensional outlier detection algorithms

This repository contains different scripts to automate and visualize analysis performed for the "Integration of proteomics with genomics and transcriptomics increases the diagnosis rate of Mendelian disorders"

Outlier Detection Tools for Functional Data Analysis

Purely presence-only species distribution modeling with isolation forest and its variations such as Extended isolation forest and SCiForest.

Undergraduate Project - Statistical Outlier Detection Methods

The main objective of this project is to build a model to identify whether the delivery of an order will be late or on time.

Random Forest Geometry- and Accuracy-Preserving proximities

Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.