BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20240328T161010Z UID:9d19f9e0-4ae5-4426-8433-d0fa92046f12 DTSTART:20210121T090000 DTEND:20210122T090000 CLASS:PRIVATE DESCRIPTION:
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Gene expression is a measurement of expression levels of various genes at once\, with the intent to discover his function. One way to anal yze this expression data is through clustering techniques\, which aim to g roup genes of similar expression tendencies together. The current big prob lem in this research area is the huge amount of data that needs to be proc essed simultaneously\, which require the development of new techniques and algorithms\, principally on machine learning advances. This special sessi on aims to show recent advances in the area\, presenting new techniques of processing\, automated analysis and pattern classification. It also inten ds to be a forum for sharing experiences between specialists\, researchers and beginners in the area\, presenting and discussing relevant ideas.
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\n\nTOPICS: \;
\n- Clusteri
ng algorithms\;
\n- Biclustering algorithms\;
\n- Automated gene
expression analysis\;
\n- Deep learning applied to genetic data\;&nb
sp\;
\n- New machine learning techniques.
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\n\nJessica Carballido\, \;Universidad Nacional del Sur\, Argentin
a \;
\nMiguel Rocha\, \;University of Minho\, Portugal \;
\nPriscila Saito\, \;Universidade Tecnoló\;gica Federal do
Paraná\;\, Brazil
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\n\nPaulo Eduardo Ambrosio \;<
br />\nUniversidade Estadual de Santa Cruz \;
\nBrazil \;
Brief Bio
\nDoctor in Medical Sciences. Research interest: Compu tational Biology\, Pattern Recognition.The purpose of the International Conference on Bioinformatics M
odels\, Methods and Algorithms is to bring together researchers and practi
tioners interested in the application of computational systems\, algorithm
ic concepts and information technologies to address challenging problems i
n Biomedical research with a particular focus on the emerging problems in
Bioinformatics and computational biology. There is a tremendous need to ex
plore how mathematical\, statistical and computational models can be used
to better understand biological processes and systems\, while developing n
ew methodologies and tools to analysis the massive currently-available bio
logical data. Areas of interest to this community include systems biology\
, sequence analysis\, biostatistics\, image analysis\, network and graph m
odels\, scientific data management and data mining\, machine learning\, pa
ttern recognition\, computational evolutionary biology\, computational gen
omics and proteomics\, and related areas.
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\nBIOINFORMATICS en
courages authors to submit papers to one of the main topics indicated belo
w\, describing original work\, including methods\, techniques\, advanced p
rototypes\, applications\, systems\, tools or survey papers\, reporting re
search results and/or indicating future directions. Accepted papers will b
e presented at the conference by one of the authors and published in the p
roceedings. Acceptance will be based on quality\, relevance and originalit
y. There will be both oral and poster sessions.
\nThe proceedings wil
l be indexed by several major international indexers.
\nSpecial sessi
ons are also welcome. Please contact the secretariat for further informati
on on how to propose a special session.
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