Web demos

A convolutional deep residual neural network for prediction of pre-miRNAs in genome-wide data.

An online algorithm to extract detailed information of foraging behavior in grazing cattle.

Clustermatch is an efficient clustering method able to process highly diverse datasest.

A regularity-based algorithm designed for long-term analysis of foraging behavior in grazing cattle.

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.

Blind speech dereverberation based on convolutive non-negative matrix factorization with mixed penalization.

Classification of Furnariidae species using speech-related features and machine learning.

A novel and effective way of approaching high class-imbalance in pre-miRNA prediction.

A novel method for inferring biological function for a set of genes with previously unknown function.

miRNA-SOM is a tool for the discovery of pre-miRNA in the E. multilocularis genome.

An evolutionary tool for finding novel metabolic pathways linking compounds through feasible reactions.

A comprehensive tool providing almost all state-of-the-art RNA feature extraction methods used today.

*omeSOM is a tool designed to give support to the data mining task of metabolic and transcriptional datasets derived from different databases.

A deep learning approach for the automatic interpretation of scientific articles.

PhDSeeker is a bio-inspired algorithm for synthesizing linear and branched metabolic pathways.

A blind, single channel dereverberation method in the time-frequency domain.

This tool takes the set of isolated chromosome images from a cell.

Semi-supervised method for microRNA prediction with few labelled samples.

A novel approach for highly-diverse multi-omics data fusion.

Arousal and valence are estimated from features of heart rate variability.

Compares a supervised vs an unsupervised approach for pre-miRNA prediction in model genomes.

A novel method to smoothly control the diversity of a cluster ensemble.

Algorithm for frequency-domain blind source separation based on Multibin ICA for 2 by 2 mixtures.

Algorithm for frequency-domain blind source separation based on the pseudoanechoic model.

miRNAfe full is an advanced tool to extract features from RNA sequences, providing almost all state-of-the-art feature extraction methods published today.

Simple demo of bSOM, an algorithm for improve clustering with information from metabolic pathways.