Connectionists: [CIBB2026] - Free pre-conference Tutorial on Reverse Engineering of Gene Regulatory Networks (Rome, Sept 1)

[Umberto Ferraro Petrillo]

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   CIBB 2026: FREE PRE-CONFERENCE TUTORIAL ON
   REVERSE ENGINEERING OF GENE REGULATORY NETWORKS
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Dear all,

We would like to bring to your attention a free pre-conference event
focused on a problem of broad methodological interest: Tutorial on Reverse
Engineering of Gene Regulatory Networks, taking place on September 1, 2026,
at Sapienza University of Rome.

 The tutorial, organized by Young InfoLife in collaboration with CIBB 2026,
provides a hands-on introduction to the inference of gene regulatory
networks (GRNs) from transcriptomic data. GRN inference is a representative
problem of biological network learning that combines correlation, mutual
information, and regression-based approaches, with broader connections to
representation learning and graph inference. The tutorial is accessible
also to participants approaching this domain for the first time.

The event is free of charge and open to anyone, including those not
attending the main conference. Registration is required due to limited
seats.

The tutorial is part of CIBB 2026, the 21st International Conference on
Computational Intelligence Methods for Bioinformatics and Biostatistics,
taking place at Sapienza University of Rome from September 2 to 4, 2026.
Confirmed invited speakers include Nicola Segata (University of Trento) and
Pavel Pevzner (UCSD). Registration to the main conference is now open, with
special rates for students and PhD candidates.

Best regards,
CIBB 2026 General Chairs


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KEY INFORMATION
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Tutorial date: September 1, 2026 (afternoon)
Conference dates: September 2-4, 2026
Location: Sapienza University of Rome, Rome, Italy
Website: https://cibb2026.teralab.ai
Contact: cibb2026 at uniroma1.it

Tutorial details and registration:
https://cibb2026.teralab.ai/satellite-events/reverse-engineering-gene-regulatory-networks/

Conference registration:
https://cibb2026.teralab.ai/registration


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TUTORIAL CONTENT
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Speakers: Dora Tortarolo (University of Turin), Grete Francesca Privitera
(University of Catania), Roberto Pagliarini (University of Udine).

Topics: biological and computational background of gene regulatory
networks; preprocessing and exploratory analysis of transcriptomic data;
computational methods for network inference (correlation-based, mutual
information-based, regression-based); network evaluation with precision,
recall, AUROC, AUPRC; critical interpretation of inferred regulatory
interactions.

Format: hands-on with provided datasets, scripts, and reference networks.
Participants are encouraged to bring their own laptop. Preparatory webinars
are available on the Young InfoLife YouTube channel.

Prerequisites: familiarity with basic data analysis and scripting
recommended. No prior experience with gene regulatory networks required.


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For full details on the conference, Special Sessions, the other
pre-conference satellite events, and the Organizing Committee, please
visit: https://cibb2026.teralab.ai


-- 
Umberto Ferraro Petrillo
PhD, Full Professor
Dipartimento di Scienze Statistiche
Universita' di Roma -- La Sapienza
P.le Aldo Moro, 5

-- 


*Fai crescere le giovani ricercatrici e i giovani ricercatori***

*con il 
5 per mille alla Sapienza*

Scrivi il codice fiscale dell'Università 
*80209930587
**Cinque per mille <https://www.uniroma1.it/it/node/23149>*
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