Sindi Lab (University of California, Merced)
The Sindi Lab focuses on mathematical and computational modeling of complex biological processes using applied mathematics methods and machine learning.
California
Pinned Repositories
ACTINN-PyTorch
An easy-to-use PyTorch implementation of Automatic Cell-Types Identification of single-cell RNA sequencing using Neural Networks (ACTINN)
ACTIVA
The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
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.
Going_through_phages
This repository contains a few of the perl scripts used to analyze data in going through phages manuscript
HomeostaticExpansion
PhD project at UC Merced
N-ACT
The public repository for N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
N-ACT-TrainingScripts
A repository to host the main scripts for training (and pre-training) N-ACT
scANNA
The main repository hosting the implementation of scANNA (single-cell ANalysis using Neural Attention)
SCData-PreProcessing
A package for pre-processing single-cell data in Python for machine learning purposes
Tutorials
This Repository will host basic Tutorial for getting started with SingleCell Analysis in Python
Sindi Lab (University of California, Merced)'s Repositories
SindiLab/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.
SindiLab/ACTIVA
The main repository for ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders
SindiLab/ACTINN-PyTorch
An easy-to-use PyTorch implementation of Automatic Cell-Types Identification of single-cell RNA sequencing using Neural Networks (ACTINN)
SindiLab/Tutorials
This Repository will host basic Tutorial for getting started with SingleCell Analysis in Python
SindiLab/scANNA
The main repository hosting the implementation of scANNA (single-cell ANalysis using Neural Attention)
SindiLab/N-ACT
The public repository for N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
SindiLab/N-ACT-TrainingScripts
A repository to host the main scripts for training (and pre-training) N-ACT
SindiLab/SCData-PreProcessing
A package for pre-processing single-cell data in Python for machine learning purposes
SindiLab/Going_through_phages
This repository contains a few of the perl scripts used to analyze data in going through phages manuscript
SindiLab/HomeostaticExpansion
PhD project at UC Merced