--- author: - affiliation: - id: https://ror.org/03yty8687 name: GigaScience Press contributor_roles: [] family: Edmunds given: Scott url: https://orcid.org/0000-0001-6444-1436 blog: authors: null community_id: 52db0518-e228-4260-8c54-c4e323b2569d created: 1675555200 current_feed_url: null description: Data driven blogging from the GigaScience editors doi: https://doi.org/10.59350/gigablog favicon: https://rogue-scholar.org/api/communities/52db0518-e228-4260-8c54-c4e323b2569d/logo feed_format: application/atom+xml feed_url: http://gigasciencejournal.com/blog/feed/atom/ filter: null generator: Other home_page_url: https://gigasciencejournal.com/blog issn: null language: eng license: https://creativecommons.org/licenses/by/4.0/legalcode prefix: '10.59350' relative_url: null secure: false slug: gigablog status: archived subfield: '1311' title: GigaBlog updated: null use_api: null container: GigaBlog date: '2025-04-02T00:00:00+00:00' date_updated: '2025-12-06T10:05:36+00:00' guid: http://gigasciencejournal.com/blog/?p=6096 identifier: https://doi.org/10.59350/c4bhs-tps47 images: - alt: protein networks Cassyni webinar height: '398' sizes: '(max-width: 532px) 100vw, 532px' src: https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1024x766.png srcset: https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1024x766.png, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-300x224.png, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-768x574.png, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1536x1149.png, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM.png width: '532' issn: null keywords: - Technology - AI - Cassyni - Diseases - Machine Learning lang: en license: https://creativecommons.org/licenses/by/4.0/legalcode reference: - id: https://doi.org/10.1093/gigascience/giz053 unstructured: 'Fire, M., & Guestrin, C. (2019). Over-optimization of academic publishing metrics: observing Goodhart''s Law in action. GigaScience, 8(6).' - id: https://doi.org/10.1093/gigascience/giaa085 unstructured: Kagan, D., Moran-Gilad, J., & Fire, M. (2020). Scientometric trends for coronaviruses and other emerging viral infections. GigaScience, 9(8). - id: https://doi.org/10.1101/2023.12.19.572354 unstructured: Kagan, D., Jubran, J., Yeger-Lotem, E., & Fire, M. (2023). Network-based anomaly detection algorithm reveals proteins with major roles in human tissues. In Bioinformatics. Cold Spring Harbor Laboratory. rid: zjq2h-vez77 rights: https://creativecommons.org/licenses/by/4.0/legalcode summary: GigaScience Press is pleased to announce an upcoming Cassyni webinar on algorithm based detection of diseases using AI-based approaches taken from social media to protein networks. title: 'From Social-Media to Protein Networks: join our Cassyni webinar on algorithm based detection of diseases' url: https://wayback.archive-it.org/22098/2025-05-01T17:13:42Z/https://gigasciencejournal.com/blog/social-media-to-protein-networks-cassyni-webinar/ version: v1 --- GigaScience Press is pleased to announce an [upcoming Cassyni webinar](https://cassyni.com/events/RfbzkzjvuLjxHYQb4AJdh7) on algorithm based detection of diseases using AI-based approaches taken from social media to protein networks. Hosted by *GigaScience* Editor in Chief Scott Edmunds and featuring a chance to ask questions, this free online webinar using the Cassyni platform will be on April 8th at 3pm UTC (4pm CET/11am ET). ![protein networks Cassyni webinar](https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1024x766.png){.aligncenter .wp-image-6098 decoding="async" fetchpriority="high" height="398" sizes="(max-width: 532px) 100vw, 532px" srcset="https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1024x766.png 1024w, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-300x224.png 300w, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-768x574.png 768w, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM-1536x1149.png 1536w, https://gigasciencejournal.com/blog/wp-content/uploads/2025/04/Screenshot-2025-04-01-at-6.43.08-PM.png 1762w" width="532"} *GigaScience* author Dr. Michael Fire (The Fire AI Lab) and Prof. Esti Yeger-Lotem (National Institute for Biotechnology in the Negev) from Ben-Gurion University of the Negev have applied AI approaches to Social Media and bibliometric network analysis for many different applications. From fake identities in online social networks, to work [published in *GigaScience*](https://doi.org/10.1093/gigascience/giaa085) looking at publishing trends to predict outbreaks of coronaviruses and other emerging viral infections. As well as studying the [over-optimization of academic publishing metrics](https://doi.org/10.1093/gigascience/giz053) (a particularly popular paper being covered in many places including Times Higher Education). These approaches at looking for anomalies and differences in social networks are now being applied in upcoming ([preprinted) work](https://doi.org/10.1101/2023.12.19.572354) presenting new algorithmic approaches to detect anomalous proteins in human tissues and disease. Dr\'s Fire and Yeger-Lotem will both present on their success using these network-approaches, and please come along and bring or post questions in advance for the Q&A at the end. This is our [second webinar](https://gigasciencejournal.com/blog/cannabis-genomics-cassyni-seminar/) on the Cassyni platform, and you [sign up](https://cassyni.com/events/RfbzkzjvuLjxHYQb4AJdh7?yh30gdb) here to participate: If you can\'t make it on 8th April, from our series page you\'ll be able to watch the archival version afterwards (see our [previous webinar](https://doi.org/10.52843/cassyni.y1p61f) on bioinformatics resources from The International Cannabis Genome Research Consortium). And watch this space for another [GigaScience Press Seminar Series](https://cassyni.com/s/gigascience-press) webinar to be called shortly. #### References: Fire M, Guestrin C. Over-optimization of academic publishing metrics: observing Goodhart\'s Law in action. *Gigascience*. 2019 Jun 1;8(6):giz053. doi: [10.1093/gigascience/giz053](https://doi.org/10.1093/gigascience/giz053). Kagan D, Moran-Gilad J, Fire M. Scientometric trends for coronaviruses and other emerging viral infections. *Gigascience*. 2020 Aug 1;9(8):giaa085. doi: [10.1093/gigascience/giaa085](https://doi.org/10.1093/gigascience/giaa085). Kagan D, Jubran J, Yeger-Lotem E, and Fire M. Network-based anomaly detection algorithm reveals proteins with major roles in human tissues. *bioRxiv*. 2023.