New Frontiers in Data Analysis, Optimization and Visualization for Bioinfomatics and Neuroscience

Special Session in IEA/AIE 2010

Objectives:

Life sciences have been one of the major application fields in which advanced data analysis techniques have been applied. Medical informatics has been a subject of study in the early machine learning history. Nowadays, life sciences produce an enormous amount of complex data, to be analyzed or visualized appropriately. Two of the key fields in which these techniques have a major role to play are (i) bioinformatics (for example, the analysis of data derived from high-throughput genomics, proteomics, artificial life simulations, or metabolic networks and pathways) and (ii) neurosciences (such as, data produced by microscope imagery, experimental neuronal physiology and morphology or neuronal circuit simulation).

The data retrieved from these two fields are high-dimensional, complex, and difficult to represent. These characteristics require the definition of new techniques or the use of interesting ideas from other fields, previously unused on these data.

The scope of this session is to present “on going” research that is new and non-standard to allow scientists to understand biological and neuronal processes in the future. The goal is to push forward the science with new ideas that will present different approaches to exploit in the years to come.

The papers could be either (i) theoretical studies about fundamental principles required for these new methods, or (ii) applied papers of previously unused methods in the field, revisiting ideas or using algorithms and techniques borrowed from other domains.

The aim of this session that is part of IEA/AIE 2010 is to bring together researchers working on different topics from data analysis, optimization and visualization that develop their ideas in the fields of bioinformatics or neuroscience. The participants will present the early ideas that they plan to develop in the near future.

IEA-AIE is ranked #46 out of the 701 conferences reported by the Computer Science Conference Ranking

The intended audiences for this session are researchers and practitioners who are working in the above fields and in one or more of the following:

Topics:

  • Data pre-processing, data understanding

  • Data management methods

  • Data mining architectures, data bases

  • Machine learning (supervised and unsupervised learning)

  • Association rules, and knowledge discovery from time series data

  • Statistics (such as, graphical models)

  • Soft computing techniques

  • Optimization (such as, heuristic or evolutionary optimization)

  • Scientific and interactive visualization

  • Integration of data visualization and data anlysis

  • Post-processing, knowledge/model integration

Applications:

  • Gene expression analysis

  • Gene networks and pathways

  • Comparative genomics

  • Integration of various forms of genomics, proteomics or clinical data

  • Electron microscopy neuronal tissues

  • Optical microscopy of neurons

  • (Function) MRI of brain activity

  • Physiological information of neuronal circuits

  • Simulation of biological or neuronal processes

Session chair:

  • Dr. A. Fazel Famili,Co- Chair
    (National Research Council, Canada) [     This e-mail address is being protected from spambots. You need JavaScript enabled to view it ]

  • Prof. Jose M. Peña, Co-Chair
    (Universidad Politécnica de Madrid, Spain) [ This e-mail address is being protected from spambots. You need JavaScript enabled to view it ]

  • Prof. Víctor Robles, Co-Chair
    (Universidad Politécnica de Madrid, Spain) [ This e-mail address is being protected from spambots. You need JavaScript enabled to view it ]

  • Dr.Ángel Merchán , Co-Chair
    (Universidad Complutense de Madrid - Universidad Politécnica de Madrid) [ This e-mail address is being protected from spambots. You need JavaScript enabled to view it ]

     


Important Dates:

  • Paper deadline: 10 december