Feb 27, 2020
Predicting_MWM_with_ANN
- Akinori Higaki1,
- Masaki Mogi2,
- Jun Iwanami3,
- Li-Juan Min3,
- Hui-Yu Bai3,
- Bao-Shuai Shan3,
- Masayoshi Kukida1,
- Harumi Kan-no3,
- Shuntaro Ikeda1,
- Jitsuo Higaki1,
- Masatsugu Horiuchi3
- 1Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University, Graduate School of Medicine, Tohon, Ehime;
- 2Department of Pharmacology, Ehime University, Graduate School of Medicine;
- 3Department of Molecular Cardiovascular Biology and Pharmacology, Ehime University, Graduate School of Medicine
Protocol Citation: Akinori Higaki, Masaki Mogi, Jun Iwanami, Li-Juan Min, Hui-Yu Bai, Bao-Shuai Shan, Masayoshi Kukida, Harumi Kan-no, Shuntaro Ikeda, Jitsuo Higaki, Masatsugu Horiuchi 2020. Predicting_MWM_with_ANN. protocols.io https://dx.doi.org/10.17504/protocols.io.k76czre
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
"Predicting outcome of Morris water maze test in vascular dementia mouse model with deep learning"
https://doi.org/10.1371/journal.pone.0191708
Created: December 11, 2017
Last Modified: February 27, 2020
Protocol Integer ID: 9182
Keywords: morris water maze test, deep learning, neural network
Abstract
>> We would share the raw data and python scripts used in the study 'Predicting the outcome of Morris water maze test in vascular dementia mouse model with deep learning' published for PLoS One.
>> 'ann_pred_0114.py' is the main code of ANN constructed with Chainer framework. This code can read 'data_set_0114.xlsx' and run the deep learning program. This code also includes the cross validation method and calculation for correlation coefficient.
>> In 'data_set_0114.xlsx' file, you can see raw MWM data for WT-sham, WT-BCAS and WT-control mice.
>> "svr_pred_0114.py" is a script file for prediction with support vector regression (used in Supporting Information).
>> "morris_3day_1204.py" is a script file for predicting the outcome based on 3-day data (used in Supporting Information).
Raw_Data
Raw_Data