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ai-and-ml

Examples from coursework of machine learning algorithms applied to gene expression data for diagnostics.

bioinformatics_page

ciliome_gene_expression

covid-project

2020 internship investigating SARS-CoV-2 interactomes

elefhant

Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use interface for users to annotate clusters of single cells and harmonize labels across single cell datasets to generate a unified atlas. It provides users with a flexibility of choosing a machine learning based classifiers or let ELeFHAnt automatically use the power of robust classifiers like randomForest and SVM (Support Vector Machines) to make predictions. It has two functions 1) CelltypeAnnotation 2) LabelHarmonization.

elefhantdev

gene_expression

Processing and querying of gene expression data for database

github-slideshow

A robot powered training repository :robot:

intestinal_data

intro-to-chipseq

Intro to ChIPseq using HPC

liblinear

LiblineaR — Linear Predictive Models Based on the LIBLINEAR C/C++ Library. Homepage: <https://www.dnalytics.com/software/liblinear/>

openproblems

Formalizing and benchmarking open problems in single-cell genomics

scgate

marker-based purification of cell types from single-cell RNA-seq datasets

scsorter

:exclamation: This is a read-only mirror of the CRAN R package repository. scSorter — Implementation of 'scSorter' Algorithm

via

trajectory inference