The expanding scale and inherent complexity of biological data have encouraged a growing
use of machine learning in biology to build informative and predictive models of the …

We present ilastik, an easy-to-use interactive tool that brings machine-learning-based (bio)
image analysis to end users without substantial computational expertise. It contains pre …

Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …

This is a survey of neural network applications in the real-world scenario. It provides a
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …

Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …

Machine learning with maximization (support) of separating margin (vector), called support
vector machine (SVM) learning, is a powerful classification tool that has been used for …

Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …

The many microbial communities around us form interactive and dynamic ecosystems called
microbiomes. Though concealed from the naked eye, microbiomes govern and influence …

Abstract Machine learning has become a pivotal tool for many projects in computational
biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical …