Multi-Input Model for RNA Sequence Interaction Prediction

Introduction

This repository contains a multi-input neural network model that predicts if two RNA sequences have interaction.

Model Architecture

The model uses two input sequences, which go through separate embedding and convolutional layers. These layers are designed to capture the features of the RNA sequences effectively. After a series of convolutional and max-pooling operations, the feature maps are flattened and combined. The merged feature vector is then passed through fully connected layers to make the final prediction.

Dependencies

• Python 3.x
• TensorFlow 2.x
• Keras

Use the following command to install the required libraries:

pip install tensorflow
pip install keras