SAM

Skin age model

Introduction

SAMs are used for assessing the skin state from phenotypic and microbial perspectives.

The introduction and online version of the SAM have been deposited to the webset:

https://hustmoon.shinyapps.io/skin_age/

Installation

# clone this repository
git clone https://github.com/HUST-NingKang-Lab/SAM.git
cd SAM

# configure environment using environment.yaml
conda install mamba -n base -c conda-forge -y
mamba env create -f environment.yml
conda activate SAM

Usage

We have two modes: 1) DNN: deep neural network; 2) RF: random forest regression.

You can control the mode by set the parameter -m

DNN mode

python SAM.py -m DNN -i ./input -o ./output

RF mode

python SAM.py -m RF -i ./input -o ./output