Commit a742f549 authored by Thulani Hewavithana (qnm481)'s avatar Thulani Hewavithana (qnm481)
Browse files

Update README.md

parent b1b9da15
......@@ -4,7 +4,7 @@ This project is for the classification of splice sites in DNA sequences using ne
Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Splice-junction+Gene+Sequences)
The main goal of this study is to identify sequences that include Splice Junction sites and classify the sites into ’Exon/Intron’ and ’Intron/Exon’ or ’Neither’ classes. Two different approaches were used to achieve the goal. In the first approach, DNA sequences were converted into k-mers of three different lengths. Three types of neural network models were used for training including artificial neural network (ANN), convolutional neural network (CNN) and recurrent neural network (RNN). In the second approach sequences were converted into 60x60 gray-scale images generating 3190 images in total. Scripts used for converting the sequences into images are included (preprocessing.m, Preprocessing.java). Preprocessed files are included in preprocessed_data folder.
The main goal of this study is to identify sequences that include Splice Junction sites and classify the sites into ’Exon/Intron’ and ’Intron/Exon’ or ’Neither’ classes. Two different approaches were used to achieve the goal. In the first approach, DNA sequences were converted into k-mers of three different lengths. Three types of neural network models were used for training including artificial neural network (ANN), convolutional neural network (CNN) and recurrent neural network (RNN). In the second approach sequences were converted into 60x60 gray-scale images generating 3190 images in total. Scripts used for converting the sequences into images are included (preprocessing.m, Preprocessing.java). Preprocessed files are included in Preprocessed_datafiles folder.
Images generated were splitted into train, validation and test sets in the folder input_dataset_image.
......
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment