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 ...
Europe PMC

Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously.

Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, most available RNA assays were run on microarray, while RNA-seq is now ...
GitHub

ziweiwu/ML-RNA-Microarray

What is the problem that you are trying to solve? Is the problem well defined? How can you evaluate the outcome of the project? Is machine learning the best solution? Acess to a sizable set of data ...
Europe PMC

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research.

The employment of machine learning (ML) approaches to extract gene expression information from microarray studies has increased in the past years, specially on cancer-related works. However, despite ...
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 ...
Scientific Research Publishing

Cho, S.B. and Won, H.H. (2013) Machine Learning in DNA Microarray Analysis for Cancer Classification. Proceedings of the 1st Asia-Pacific Bioinformatics Conference on ...

ABSTRACT: Worldwide breast cancer is the most common form of cancer death occurring in 12.6% of women. This paper presents a cost effective approach to classify the normal, malignant and benign tumor ...