Paper Title :Microarray Cancer Data Classification Using Deep Learning
Author :Jansi Rani, Joshua Vikash Selvaraj.S, Suhaanjith Ts
Article Citation :Jansi Rani ,Joshua Vikash Selvaraj.S ,Suhaanjith Ts ,
(2023 ) " Microarray Cancer Data Classification Using Deep Learning " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 1-6,
Volume-11,Issue-6
Abstract : The purpose of the project is to use microarray gene expression data to classify cancer using a deep learning feedforward
algorithm. Due to the large dimensionality of the data, traditional machine learning algorithms have had difficulty
with this task. The input layer, numerous hidden layers, and output layer make up the deep learning algorithm used in this
work. In order to enhance accuracy over time, it applies back propagation to modify the weights and biases of the neurons
based on the discrepancy between the expected output and the actual output. The preprocessing of the microarray gene
expression data include scaling and normalising the expression levels to a range between 0 and 1. Following that, the data is
divided into training and validation sets. The deep learning model is trained using the training set, and its performance is
assessed using the validation set. To increase the model's accuracy, hyperparameters including the number of hidden layers,
the number of neurons in each layer, and the learning rate are optimised. The study's findings show that the deep learning
feed-forward algorithm can accurately and efficiently classify cancer using microarray gene expression data. The approach
can pinpoint the key genes for cancer classification and shed light on the intricate connections between genes and cancer.
The study emphasises the promise of deep learning algorithms in biomedical research as well as their aptitude for managing
large-scale data sets and spotting intricate patterns. As a result, it may be possible to create cancer classification models that
are more precise and effective, leading to better cancer detection and care.
Keywords —Microarray Data, Deep Learning, Cancer, Dimensionality Reduction, Neural Network
Type : Research paper
Published : Volume-11,Issue-6
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19822
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Copyright: © Institute of Research and Journals
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Published on 2023-10-13 |
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