DLpMHCI doc
Home
  • Geting Start
  • Algorithm
  • Online analysis
  • Software package
  • Source code
FAQ
Contact (opens new window)
GitHub (opens new window)
Home
  • Geting Start
  • Algorithm
  • Online analysis
  • Software package
  • Source code
FAQ
Contact (opens new window)
GitHub (opens new window)
  • Getting Start

    • Introduction
    • Quick Start
      • Online analysis
      • Software package
      • Source code
        • Dependence
  • Algorithm

    • Model Architecture
  • Online analysis

    • Website architecture design
    • Predict
  • Software package

    • Use this software
  • Source code

    • Configuring environment dependencies
    • Use these codes
  • Docs
  • Getting Start
JiangLab
2022-09-20
catalogue

Quick Start

# Online analysis macLinuxwindows

We have deployed the trained model on the server. Ordinary users can access DLpMHCI through http://jianglab.org.cn/DLpMHCI (opens new window), which provides prediction, attention and other functions.

# Software package Linux

WARNING

This project only provides programs that can run on Linux.

We have uploaded the compressed file to github (opens new window), which can be downloaded and installed by the following methods.

# Download our software from git 
git clone xxxx

# Source code macLinuxwindows

We also provide the source code of the model. You can download our source code from github (opens new window) and use it. In this case, you can use any system PC device, but your computer must have the following dependencies.

# Download our software from git 
git clone xxxx

# Dependence

  • DLpMHC I requires the followingPython 3.8modules:
    • numpy 1.23.1
    • pandas 1.2.4
    • einops 0.4.1
    • pytorch 1.11.0
Introduction
Model Architecture

← Introduction Model Architecture→

Copyright © 2022-2022 Jiang Lab | 赣ICP备20010039号
  • 跟随系统
  • 浅色模式
  • 深色模式
  • 阅读模式