Classification of microarray data with DL

The purpose of this research was to use TensorFlow to classify numerical data, specifically microarray data. The project answered the question of what effect applying deep learning techniques to the problem of classifying microarray data would have. The project looked for a solution to the problem related to the amount of data (small number of objects - from tens to hundreds compared to the number of genes), tried to find the most optimal architecture of artificial neural network, conducted experiments and inference.

Details coming soon.