scarfToolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Stars: ✭ 54 (+260%)
scarchesReference mapping for single-cell genomics
Stars: ✭ 175 (+1066.67%)
ReductionWrappersR wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Stars: ✭ 31 (+106.67%)
northstarSingle cell type annotation guided by cell atlases, with freedom to be queer
Stars: ✭ 23 (+53.33%)
SHARPSHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection
Stars: ✭ 14 (-6.67%)
scAlignA deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Stars: ✭ 32 (+113.33%)
coinstacCollaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation
Stars: ✭ 34 (+126.67%)
babelDeep learning model for single-cell inference of multi-omic profiles from a single input modality.
Stars: ✭ 20 (+33.33%)
ropThe Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
Stars: ✭ 35 (+133.33%)
single cell portalTutorials, workflows, and convenience scripts for Single Cell Portal
Stars: ✭ 41 (+173.33%)
BEERBEER: Batch EffEct Remover for single-cell data
Stars: ✭ 19 (+26.67%)
cardelinoClone identification from single-cell data
Stars: ✭ 49 (+226.67%)
vireoDemultiplexing pooled scRNA-seq data with or without genotype reference
Stars: ✭ 34 (+126.67%)
Word2VecAndTsneScripts demo-ing how to train a Word2Vec model and reduce its vector space
Stars: ✭ 45 (+200%)
SmartPeakFast and Accurate CE-, GC- and LC-MS(/MS) Data Processing
Stars: ✭ 21 (+40%)
idealInteractive Differential Expression AnaLysis - DE made accessible and reproducible
Stars: ✭ 24 (+60%)
CellExplorerCellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
Stars: ✭ 55 (+266.67%)
iMOKAinteractive Multi Objective K-mer Analysis
Stars: ✭ 19 (+26.67%)
Fun-with-MNISTPlaying with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (+53.33%)
GREINGREIN : GEO RNA-seq Experiments Interactive Navigator
Stars: ✭ 40 (+166.67%)
souporcellClustering scRNAseq by genotypes
Stars: ✭ 88 (+486.67%)
DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+15273.33%)
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Stars: ✭ 28 (+86.67%)
celltypistA tool for semi-automatic cell type annotation
Stars: ✭ 92 (+513.33%)
SierraDiscover differential transcript usage from polyA-captured single cell RNA-seq data
Stars: ✭ 37 (+146.67%)
HarmonyHarmony framework for connecting scRNA-seq data from discrete time points
Stars: ✭ 36 (+140%)
word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Stars: ✭ 59 (+293.33%)
cerebraA tool for fast and accurate summarizing of variant calling format (VCF) files
Stars: ✭ 55 (+266.67%)
symphonyEfficient and precise single-cell reference atlas mapping with Symphony
Stars: ✭ 69 (+360%)
TangramSpatial alignment of single cell transcriptomic data.
Stars: ✭ 149 (+893.33%)
ORNAFast in-silico normalization algorithm for NGS data
Stars: ✭ 21 (+40%)
PyBILTToolkit to aid in the analysis of lipid bilayer molecular simulation trajectories.
Stars: ✭ 17 (+13.33%)
dropEstPipeline for initial analysis of droplet-based single-cell RNA-seq data
Stars: ✭ 71 (+373.33%)
libmorphlibmorph rus/ukr - fast & accurate morphological analyzer/analyses for Russian and Ukrainian
Stars: ✭ 16 (+6.67%)
torchtrajectoryThe World's First Search Engine for Trajectory Data
Stars: ✭ 28 (+86.67%)
vidgerMake rapid visualizations of RNA-seq data in R
Stars: ✭ 19 (+26.67%)
fastq utilsValidation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
Stars: ✭ 25 (+66.67%)
NetBIDData-driven Network-based Bayesian Inference of Drivers
Stars: ✭ 21 (+40%)
HIRO Panda TRAC IKInverse Kinematics Engine for the Franka Emika Panda for Cartesian Pose Control.
Stars: ✭ 21 (+40%)
sports1.1Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs
Stars: ✭ 35 (+133.33%)
GeneTonicEnjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
Stars: ✭ 66 (+340%)
cellrouterReconstruction of complex single-cell trajectories using CellRouter
Stars: ✭ 38 (+153.33%)
railScalable RNA-seq analysis
Stars: ✭ 74 (+393.33%)
yupiPython package designed for collecting and processing trajectory data.
Stars: ✭ 30 (+100%)
Multicore TsneParallel t-SNE implementation with Python and Torch wrappers.
Stars: ✭ 1,664 (+10993.33%)
zellkonverterConversion between scRNA-seq objects
Stars: ✭ 67 (+346.67%)
Embeddings2Imagecreate "Karpathy's style" 2d images out of your image embeddings
Stars: ✭ 52 (+246.67%)
lncpipeUNDER DEVELOPMENT--- Analysis of long non-coding RNAs from RNA-seq datasets
Stars: ✭ 24 (+60%)
biovecProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
Stars: ✭ 23 (+53.33%)
scHPFSingle-cell Hierarchical Poisson Factorization
Stars: ✭ 52 (+246.67%)
Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
Stars: ✭ 41 (+173.33%)
ALRAImputation method for scRNA-seq based on low-rank approximation
Stars: ✭ 48 (+220%)