Web server: http://PredAPP.xialab.info
Email: jfxia@ahu.edu.cn
The repo is organised as follows:
-
/static
: Folder containing all static files in the project -
/Models
: folder containing the 9 machine-learning models employed for the predictions in.pkl
format. -
/templates
: folder with the HTML files of the project -
/datasets
:Training.fasta
: Training dataset for PredAPP in Fasta formatTest.fasta
: Independent test dataset for PredAPP in Fasta format
-
requirements.txt
: environment file with all dependencies needed to run the project -
app.py
: Flask application for PredAPP -
Features.py
: Python script for feature engineering -
PredAPP.py
: Python script for machine learning model construction and evaluation
-
Requirement
OS:
-
Windows
:Windows7 or later -
Linux
:Ubuntu 16.04 LTS or later
Python:
Python
>= 3.6
-
-
Download
PredAPP
to your computergit clone https://github.com/xialab-ahu/PredAPP.git
-
open the dir and install
requirement.txt
withpip
cd PredAPP pip install -r requirement.txt
python -m flask run
Open the browser, open the url:http://127.0.0.1/5000