Data representation biology

In all areas of biology, new visual metaphors and graphical representations are being developed to convey information and to facilitate navigation

Innovation of representations is often inspired by the need to visualize new types of data or to support new analysis tasks

A data representation method can be defined as an algorithm that calculates numerical feature vectors for samples in a dataset, to be later used in quantitative modelling tasks

Data representation learning methods do this by training and using a model that employs statistical and machine/deep learning algorithms

Biological sequences vectorized by representation learning can be directly used for biological tasks, such as function and structure prediction ,

If the vector similarity between proteins is high, it can be inferred that they possess similar functions and structures