nbahti

229-E-Corona-Genome-Analysis

Genome Analysis of 229-E COVID-19 strain

ACAM

This is the R package ACAM for cell annotation.

ACAMdata

alexa-seq

ALEXA-seq - alternative expression analysis by RNA-seq

APEC

Single cell epigenomic clustering based on accessibility pattern

content

Official content for Harvard CS109

nbahti/Autoencoder-Clustering

Replication of "Auto-encoder Based Data Clustering" Song et al

nbahti/awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

nbahti/BrockmanR

Brockman R package for analyzing k-mer representations of chromatin data

nbahti/carldeboer.github.io

nbahti/Clustering-with-Deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

nbahti/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

nbahti/dca

Deep count autoencoder for denoising scRNA-seq data

nbahti/dec

nbahti/Deep-subspace-clustering-networks

nbahti/gaussian_mixture_vae

nbahti/GiniClust

GiniClust: Detecting Rare Cell Types from Single-Cell Gene Expression Data with Gini Index

nbahti/gUtils

Utility functions to extend and optimize GenomicRanges functionality.

nbahti/IDEC-pytorch

Pytorch implementation of Improved Deep Embedded Clustering

nbahti/iSEE

R/shiny interface for interactive visualization of data in objects derived from the SummarizedExperiment class

nbahti/loompy

Python implementation of the Loom file format - http://loompy.org

nbahti/mixture-autoencoder

Implementation of "Deep Unsupervised Clustering Using Mixture of Autoencoders"

nbahti/neural_network_kotlin

Autoencoder + Deep Autoencoder + Deep Convoluted Autoencoder + Hebbian

nbahti/RaceID3_StemID2

Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data. Please download the R package from the RaceID3_StemID2_package repository, which contains the current version as an R package. This repository will not be updated anymore.

nbahti/scABC

nbahti/scde

R package for analyzing single-cell RNA-seq data

nbahti/SCope

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

nbahti/SCRAT

nbahti/shinyGEO

Gene Expression Omnibus Analysis with Shiny :microscope:

nbahti/SpectralNet

Deep network that performs spectral clustering

nbahti/T-SNE-Java

Pure Java implementation of Van Der Maaten and Hinton's t-sne clustering algorithm

nbahti/tsne

A python wrapper for Barnes-Hut tsne

nbahti/tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

nbahti/VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

nbahti/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

nbahti/vidger

Make rapid visualizations of RNA-seq data in R