Name: Anatoly Buchin
Type: User
Company: Cajal Neuroscience
Bio: Computational neuroscience, neural networks, cell biophysics, machine learning, single cell omics
Twitter: neurojoy
Location: Seattle
Blog: http://www.buchin.info/
Anatoly Buchin's Projects
ACTIONet single-cell analysis framework
The Delphi model of adaptive population of leaky integrate-and-fire neurons
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
Slides for Algorithms for DNA Sequencing Coursera class
Code for reproducing the figures presented in: Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types
Comparision between Amnon and Chris data
Convert between AnnData and SingleCellExperiment
Reproducible Plots for the Allen Institutes Brain Atlases
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Batch balanced KNN
Comparison of single-cell normalization methods using multiple datasets with ground-truth labels
biovis simulator visualization toolbox
Blue Brain Python Optimisation Library
Brain Modeling Toolkit
btmorph v2. Object-oriented library to analyze neuronal structure
This page collect all the links to the code that might be reused in the future studies. You are welcome to contribute your own section that might be useful for anyone else in their research.
ML spike algorithm and SVM decoder predicting the drifting gratings direction based on optical recordings in V1 visual cortex.
This is the alpha version of the CellOracle package
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
An interactive explorer for single-cell transcriptomics data
Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
Deep-neural protein translation
A repo with random short code snippets
Vector representations of gene co-expression in single cell RNAseq.
Summer course content for Neuromatch Academy