Our Software:
- Convolutional Neural Networks are widely used in deep learning based approaches to functions such as computer vision, image processing, and image classification
- CNNs are designed to extract featues from grid-like matrix datasets, which makes them especially useful for images, videos, or data with high dimensionality
- Our CNN directly integrates with our project by aiming to predict whether a given soybean promoter is a seed or non-seed promoter, allowing us to target seed-specific alleles to express specific properties in soybean seeds
- The primary developer of this CNN is Dr. Le Li , a scientist at Cornell University.
Currently, the Convolutional Neural Network model is in the early stages of development.
It still needs further development in predicting these seed promoters, and Dr. Li will head development on the model.