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@SindiLab

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.

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  1. Deep-Learning-in-Spatial-Transcriptomics-Analysis Public

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

    32 2

  2. ACTIVA Public

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

    Python 11 6

  3. ACTINN-PyTorch Public

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

    Python 6 3

  4. scANNA Public

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

    Python 4 1

  5. Tutorials Public

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

    HTML 5 1

  6. N-ACT Public

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

    Python 2 1

Repositories

Showing 10 of 10 repositories
  • HomeostaticExpansion Public

    PhD project at UC Merced

    0 0 0 0 Updated Jun 25, 2023
  • scANNA Public

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

    Python 4 MIT 1 0 1 Updated Jun 15, 2023
  • Tutorials Public

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

    HTML 5 1 1 0 Updated May 9, 2023
  • Deep-Learning-in-Spatial-Transcriptomics-Analysis Public

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

    32 MIT 2 0 0 Updated Feb 9, 2023
  • N-ACT-TrainingScripts Public

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

    Python 2 MIT 1 0 0 Updated Jan 27, 2023
  • N-ACT Public

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

    Python 2 MIT 1 0 0 Updated Jan 27, 2023
  • ACTINN-PyTorch Public

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

    Python 6 MIT 3 0 0 Updated Jan 23, 2023
  • ACTIVA Public

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

    Python 11 MIT 6 2 0 Updated Jan 23, 2023
  • Going_through_phages Public Forked from Cerebro409/Going_through_phages

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

    Jupyter Notebook 0 3 0 0 Updated May 2, 2022
  • SCData-PreProcessing Public

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

    Python 1 MIT 0 2 0 Updated Mar 23, 2022

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