Formal Concept Analysis Applied to Transcriptomic Data
نویسندگان
چکیده
Identifying functions shared by genes responsible for cancer is a challenging task. This paper describes the preparation work for applying Formal Concept Analysis (FCA) to complex biological data. We present here a preliminary experiment using these data on a core context with the addition of domain knowledge. The resulting concept lattices are explored and some interesting concepts are discussed. Our study shows how FCA can help the domain experts in the exploration of complex data.
منابع مشابه
Formal Concept Analysis and Knowledge Integration for Highlighting Statistically Enriched Functions from Microarrays Data
In this paper we introduce a new method for extracting enriched biological functions from transcriptomic databases using an integrative bi-classification approach. The initial gene datasets are firstly represented as a formal context (objects × attributes), where objects are genes, and attributes are their expression profiles and complementary informations of different knowledge bases. After th...
متن کاملApplied Education of Spiritual Health in Iranian Medical Sciences
Introduction: Spiritual health in medical education literature is considered as an intrinsic and essential element of a culture-centered concept which exclusively occurs in every society. Applying spiritual health in the education and health systems is subject to proper training in this area. Therefore, the purpose of this study is to explain the factors affecting the applied education of spiri...
متن کاملConceptual Analysis of fuzzy data using FCA
In order to analyze vague data set of uncertainty information, Fuzzy Formal Concept Analysis(FFCA) incorporates fuzzy set theory into Formal Concept Analysis(FCA). It extracts useful information with a unit of fuzzy concept from given fuzzy formal context with a confidence threshold. Then it constructs fuzzy lattice by order relations between the fuzzy concepts. In this paper, we introduce basi...
متن کاملKnowledge discovery in data using formal concept analysis and random projections
In this paper our objective is to propose a random projections based formal concept analysis for knowledge discovery in data. We demonstrate the implementation of the proposed method on two real world healthcare datasets. Formal Concept Analysis (FCA) is a mathematical framework that offers a conceptual knowledge representation through hierarchical conceptual structures called concept lattices....
متن کاملDynamic Schema Navigation Using Formal Concept Analysis
This paper introduces a framework for relational schema navigation via a Web-based browser application that uses Formal Concept Analysis as the metaphor for analysis and interaction. Formal Concept Analysis is a rich framework for data analysis based on applied lattice and order theory. The application we develop, D-SIFT, is intended to provide users untrained in Formal Concept Analysis with pr...
متن کامل