Gene Set Knowledge Discovery with Enrichr

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. ...

A Rough Set-based Knowledge Discovery Process

The knowledge discovery from real-life databases is a multi-phase process consisting of numerous steps, including attribute selection, discretization of realvalued attributes, and rule induction. In the paper, we discuss a rule discovery process that is based on rough set theory. The core of the process is a soft hybrid induction system called the Generalized Distribution Table and Rough Set Sy...

Knowledge Discovery in Databases: Rough Set Approach

Knowledge Discovery Using Genetic Programming with Rough Set Evaluation

An important area of KDD research involves development of techniques which transform raw data into forms more useful for prediction or explanation. We present an approach to automating the search for "indicator functions" which mediate such transformations. The fitness of a function is measured as its contribution to discerning different classes of data. Genetic programming techniques are appli...

Knowledge Discovery for Gene Regulatory Regions Analysis

This paper presents implementation of Data Mining and Knowledge Discovery techniques for analysis of gene regulatory regions. The method is designed to search for regularities in tables of context features of DNA sequences involved in regulation of transcription. The goal is to discover regularities that relate nucleotide sequences to the functional classes of these sequences. The search patter...