During the COVID-19 pandemic, life sciences investment surged, with biotech stock valuations and IPO funding peaking in 2021. However, investment has declined significantly, leading to tightening R&D belts and streamlined…
The issues discussed in this paper are clearly not only prevalent in neuroscience... I know that this is a 2013 paper and hopefully the situation has improved, but allow me…
A 3-hour workshop during which the key elements of the recommendations and regulations of the various government agencies (Health Canada, FDA, EMA, etc.) are presented with their concrete implications on the practices to be respected. Aimed at both management teams and scientific staff, the workshop allows stakeholders to be made aware of these issues. In itself, the workshop is sufficient to allow startups to self-assess their practices and offer them tools to improve the points they consider problematic.
Metagenomic data have specific characteristics that require adapted statistical methods. Discover the most commonly used statistical tools in this field. The training begins with a reminder of hypothesis testing, associated risks, multiplicity and how to control them. Then learn what are the specificities and problems of genomic data. The training reviews classic tests for comparing groups (ANOVA, MANOVA) and their extension to tests adapted to genomic data (ANOSIM and PERMANOVA). Data visualization tools and choice of a distance metric are also discussed.