747 Open source projects that are alternatives of or similar to dropClust

经典机器学习算法的极简实现

Reproducible reanalysis of a combined ChIP-Seq & RNA-Seq data set

MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

My collection of light bioinformatics analysis pipelines for specific tasks

(WIP) best-practices workflow for rare disease

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

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

A modular annotation tool for genomic variants

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Java implementation for DBSCANSD, a trajectory clustering algorithm.

High-availability and horizontal scalability for InfluxDB

Compute N50/NG50 and auN/auNG

Implementation of linear CorEx and temporal CorEx.

Elastic, reproducible, and reusable genomic data science tools from R backed by cloud resources

RNA-seq analysis pipeline for detection gene-fusions

Summer school course materials collection

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Reference-based transcript discovery from long RNA read

Feature extraction algorithm for genomic data

A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery

Streamlining SLAM-seq analysis with ultra-high sensitivity

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Complex structural variant detection from WGS data

A proof of concept of RNAseq pipeline

PERF is an Exhaustive Repeat Finder

A pipeline for the computational evaluation of RNA-Seq data

This repository has been archived, currently maintained version is at https://github.com/iii-companion/companion

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Natural Language Processing for Lithuanian language

SaffronTree: Reference free rapid phylogenetic tree construction from raw read data

etcd-based peer discovery backend for RabbitMQ 3.7.0+

Interactive Differential Expression AnaLysis - DE made accessible and reproducible

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

mgatk: mitochondrial genome analysis toolkit

MongoDB sharded cluster

Process and Analyze Mouse-Tracking Data

An experimental cluster brings Prometheus and OpenStack together

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Learn interpretable computational phenotyping models from k-merized genomic data

A EXPERIMENTAL fork of minimap2 optimized for assembly-to-reference alignment

K-Means clustering

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

Implementation of the k-means algorithm in PyTorch that works for large datasets

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

A JavaScript library to allocate and optimize financial portfolios.

Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.

Python version of PHLAWD

Assemblytics is a bioinformatics tool to detect and analyze structural variants from a genome assembly by comparing it to a reference genome.

Linear image-to-image translation

A Hidden Markov Model implemented in Javascript

Principal component analysis (PCA) in Ruby

Benchmarking computational single cell ATAC-seq methods

Tool for visualizing and empirically analyzing information encoded in binary files

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.