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Data driven blogging from the GigaScience editors
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Watch a DOME Webinar on Machine Learning Best Practices & Recommendations on 24th September 2024 In recent years, there has been a substantial increase in scientific publications in journals publishing computational research such as ours utilising Machine Learning (ML). This represents a significant challenge for disseminating and assessing scientific research as the black box and […]

The post Machine Learning Standards in the Wild. DOME Webinar on ML Recommendations and Applications appeared first on GigaBlog.

Published

Marking the 10 th anniversary of the formulation of the FAIR principles, we have one of our GigaBlog Q&A’s with Peter-Bram ’t Hoen, Alain van Gool, Anna Niehues and Casper de Visser from the Netherlands X-omics Initiative and Radboud University Medical Center in Nijmegen, authors of a new paper on publishing FAIR workflows.

Published

Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA) A key to understanding life at the molecular level is based on accurate protein annotation at the functional level.

Published

**Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA)**To tie in with the upcoming Automated Function Prediction Special Interest Group (AFP-SIG) at the ISMB/ECCB 2013 meeting in Berlin, GigaScience and the organisers are launching a call for submissions to a thematic series of research from the meeting and beyond