1660 Open source projects that are alternatives of or similar to Awesome Single Cell

Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously

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R package for analyzing single-cell RNA-seq data

Interactive R package to quantify, analyse and visualise alternative splicing

A curated list of community detection research papers with implementations.

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

GREIN : GEO RNA-seq Experiments Interactive Navigator

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Aggregate results from bioinformatics analyses across many samples into a single report.

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Analysing Capture Seq Count Data

characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities

Software for exploration of gene expression data from single-cell RNA sequencing.

Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.

netSmooth: A Network smoothing based method for Single Cell RNA-seq imputation

Versatile open-source tool for microbiome analysis

A plotly.js React component from Plotly 📈

Parser and database to index the terpene profile of different strains of Cannabis from online databases

Analysis pipelines for sequencing data

😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎

Implementation of different techniques to find insights from the satellite data using Python.

A robust and fast clustering method for amplicon-based studies

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A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

karyoploteR - An R/Bioconductor package to plot arbitrary data along the genome

🍊 📊 💡 Orange: Interactive data analysis

Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

micca - MICrobial Community Analysis

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Fast visualization tool for large-scale and high dimensional single-cell data

PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data

A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data

Cell type specific enrichments using finemapped variants and quantitative epigenetic data

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

Process and Analyze Mouse-Tracking Data

Main yt repository

Reference mapping for single-cell genomics

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Inference of switch-like differential expression along single-cell trajectories

No description or website provided.

3D hotspot mutation proximity analysis tool

Data Explorer by Keen - point-and-click interface for analyzing and visualizing event data.

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

General Assembly's 2015 Data Science course in Washington, DC

A Python implementation of Girvan-Newman algorithm

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Malware repository component for samples & static configuration with REST API interface.

Lightweight and Accurate Point Cloud Clustering

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Apache Lucene.NET

Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Salentin et al. (2015), https://www.doi.org/10.1093/nar/gkv315