The SIG: Machine Learning comprises a Special Interest Group (SIG) organized by the RSG-Brazil, a well-established student network recognized as a member of the International Society of Computational Biology Student Council (ISCB-SC). 

This one-day focused meeting will discuss different strategies of machine learning application in bioinformatics and computational biology and new challenges are being faced today.

ABOUT

Bioinformatics and Computational Biology have showed greats advances in computational tools for modelling biological systems in recent decades. The  Special Interest Group (SIG) is a meeting planned by the RSG-Brazil to discuss a specific topic of interest in bioinformatics and computational biology. The student’s event is a singular opportunity for students to learn about new research which has been outstanding out among the bioinformatics community. The SIG aims to bring together Brazilian and foreign researchers in an interdisciplinary scientific forum to encourage the scientific production of participants through presentation and discussion of the research currently under development.  The 2021 edition of the SIG will address the theme Machine Learning (ML). We present the SIG: Machine Learning in Bioinformatics to discuss a sub-area of artificial intelligence which is based on the premise that systems can learn from data, identify patterns and make decisions with minimal human intervention. Greats advances were conducted using ML in omics science, system biology, evolution, and structural biology. This one-day focused meeting will discuss different strategies of machine learning application in bioinformatics and computational biology and the new challenges that are being faced today.

Schedule

AWARDS


Best oral presentation: R$200*

*Cash is in local currency: Brazilian Real, and it doesn't include bank or transfer fees.



Event Presence Signature


Form to sign in the morning for attendance

Click here to access



Form to sign in the afternoon for attendance

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Remembering that there will be two forms (one in the morning, the other in the afternoon).

You need to sign both forms to be present at the event.

CALL FOR ABSTRACTS IS CLOSED

If you have any questions regarding the event, send an email to: rsgbrazil.symposium@gmail.com with the subject SIG: Machine-Learning-2021 

Organizing Committee

Chair: Gisele Rocha

Chair: Thayana Tavares

Suport: Elvira Horácio