Frontiers

A comprehensive survey on computational learning methods for analysis of gene expression data

Computational analysis methods including machine learning have a significant impact in the fields of genomics and medicine. High-throughput gene expression analysis methods such as microarray ...
GitHub

NestorasK/ELMUMY-microarray-machine_learning

Source code for the publication: Predicting the Progression from Asymptomatic to Symptomatic Multiple Myeloma and Stage Classification Using Gene Expression Data This repository contains the code and ...
GitHub

Tuberculosis Detection in HIV Patients Using Microarray Data with Principal Component Analysis-Support Vector Machine

The dataset is from the NCBI (GEO Dataset Browser) website. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50834 Human Immunodeficiency Virus (HIV) adalah ...
Frontiers

A Machine Learning Method to Trace Cancer Primary Lesion Using Microarray-Based Gene Expression Data

Cancer of unknown primary site (CUP) is a heterogeneous group of cancers whose tissue of origin remains unknown after detailed investigation by conventional clinical methods. The number of CUP ...
IEEE

Comparative Evaluation of Machine Learning Algorithms on Lung Cancer Type Classification from DNA Microarray Data

Abstract: Machine Learning algorithms, such as Support Vector Machines or Deep learning, can help in the task of diagnosing diseases. An evaluation of classification algorithms to classify among four ...