Published December 5, 2020
| Version v1
Dataset
Open
Data and code for comparison of different machine learning methods and dimensionality reduction for classification astrocytoma and glioblastoma tissues by mass spectra
Authors/Creators
- 1. Moscow Institute of Physics and Technology
- 2. Federal State Autonomous Institution «N.N. Burdenko National Scientific and Practical Center for Neurosurgery» of the Ministry of Healthcare of the Russian Federation
Description
This upload contains all replication material for "Comparison of different machine learning methods and dimensionality reduction for classification astrocytoma and glioblastoma tissues by mass spectra" (forthcoming).
Authors: E.S. Zhvansky, A.A. Sorokin, V.A. Shurkhay, V.A. Eliferov, D.S. Bormotov, D.G. Ivanov, D.S. Zavorotnyuk, A.A. Potapov.
Code and data are located within data_and_code.zip. Code is written in Python 3.7.7 using Jupyter Notebook, MATLAB R2019b, and Python 3.5.2.
Please find the readme.txt for code using and the code to replicate the main findings of the paper described below:
- venn_diagramm.py for Venn diagram figures.
- SSM.m for SSM calculation and visualization.
- DR_ML.ipynb for dimensionality reduction and machine learning algorithms comparing on the datasets.