Sindi Lab (University of California, Merced)

Sindi Lab (University of California, Merced)'s repositories

Deep-Learning-in-Spatial-Transcriptomics-Analysis

This repository will host a (continously updated) list of various deep learning methods used in different stages of spatial transcriptomics analysis.

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ACTIVA

The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

Language:PythonMIT9 3 15

ACTINN-PyTorch

An easy-to-use PyTorch implementation of Automatic Cell-Types Identification of single-cell RNA sequencing using Neural Networks (ACTINN)

Language:PythonMIT6 2 2

Tutorials

This Repository will host basic Tutorial for getting started with SingleCell Analysis in Python

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scANNA

The main repository hosting the implementation of scANNA (single-cell ANalysis using Neural Attention)

Language:PythonMIT4 20

N-ACT

The public repository for N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification

Language:PythonMIT2 3 1

N-ACT-TrainingScripts

A repository to host the main scripts for training (and pre-training) N-ACT

Language:PythonMIT2 10

SCData-PreProcessing

A package for pre-processing single-cell data in Python for machine learning purposes

Language:PythonMIT1 1 4

Going_through_phages

This repository contains a few of the perl scripts used to analyze data in going through phages manuscript

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HomeostaticExpansion

PhD project at UC Merced

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