"Freshening up" the material for my #biomedical #image #analysis course restarting in September.
A lot of my students will be essentially #Python novices... so here is some short Python starting/refresher material! Everything's CC-BY-4.0 so feel free to reuse!
https://github.com/nicolaromano/BIA4/tree/main/Workshops/00%20-%20Preliminary%20material
Looking for literature for review paper:
Is there quantitative data that beauty/aesthetics in charts help user engagement/effectiveness/memory?
Great new blogpost by Eiko Fried on “zombie theories” in science, research waste, and moving forward. #OpenScience #academia
https://eiko-fried.com/zombie-theories-why-so-many-false-ideas-stick-around/
Everybody's Free (To Write Websites)
Enbies and gentlefolk of the class of '24:
Write websites. If I could offer you only one tip for the future, coding would be it. The long term benefits of coding websites remains unproved by scientists, however the rest of my advice has a basis in the joy of the indie web community's experiences. I will dispense this advice now:
I can't believe that in 2024 we still have to explain so bluntly that "Academic journals are a lucrative scam". Yet here we are ...
Kudos to the Editorial Board of Philosophy & Public Affairs for resigning en masse and thank you to Arash Abizadeh for explaining why and what's next in the Guardian:
https://www.theguardian.com/commentisfree/article/2024/jul/16/academic-journal-publishers-universities-price-subscriptions
"'With the R515 driver, #NVIDIA released a set of #Linux GPU #kernel modules in May 2022 as open source with dual GPL and MIT licensing. […]
Two years on, we’ve achieved equivalent or better application performance with our open-source GPU kernel modules […]
We’re now at a point where transitioning fully to the open-source GPU kernel modules is the right move, and we’re making that change in the upcoming R560 driver release. […]'"
https://developer.nvidia.com/blog/nvidia-transitions-fully-towards-open-source-gpu-kernel-modules/
Advantages of submitting first to the @biorxivpreprint : as an editor, I can share the entire paper with prospective reviewers to entice them to review it.
Let me tell you: this is a massive deal. Finding reviewers willing to commit to submit a review "soonish" (less than 2 months) is becoming tough.
I'm thinking about the FAIR (findable, accessible, interoperable, and reusable) principles of data. Much of our data is Western blots. Amongst colleagues, we were discussing how hard it would be to make it 'findable' which would require metadata schema, but I'm reconsidering it now.
I found a German paper from 2015 that has not really been cited and is more theory than practice. I wonder if anyone is actively working on this?
I'd be happy to participate.
'Correlation is not causation: this simple and uncontroversial statement has far-reaching implications. Defining and applying causality in biomedical research has posed significant challenges to the scientific community. In this perspective, we attempt to connect the partly disparate fields of systems biology, causal reasoning, and machine learning to inform future approaches in the field of systems biology and molecular medicine'
https://www.embopress.org/doi/full/10.1038/s44320-024-00041-w
Optimizing murine sample sizes for RNA-seq studies revealed from large-scale comparative analysis https://www.biorxiv.org/content/10.1101/2024.07.08.602525v1?med=mas
#statstab #132 P-Values are Random Variables
Thoughts: Ever-confusing, p-values are the bain of intro research method students. Maybe simulation is the key.
#stats #education #pvalues #NHST #simulation #edutstadon
#psychology #statistics
"Rodent chronic variable stress procedures: a disjunction between stress entity and impact on behaviour"
https://www.biorxiv.org/content/10.1101/2024.07.04.602063v1.full.pdf+html
We systematically investigated 350+ studies using chronic variable stress procedures in rodents and assessed the characteristics of the procedure (how many stressors they used, and how many different types, and for how long), then measured the reported effect size for those using behavioural tests as an outcome.
Some key disconcerting findings from our study
- the large majority of articles uses a unique protocol, and articles featuring the same protocol were from the same authors (aside from one case)
- 91% of articles don't provide any justification for their choice of procedure
This is scientifically and ethically troubling given CVS procedures deliberately impose suffering to animals.
- when looking at the outcome behavioural procedures measured in the studies (some of which impose further stress on the animals) we found very little correlation between effect size and the characteristics (eg length, strength) of the stress protocol. When there was a statistically significant effect, this was generally very small.
We conclude
"Most of the studies in our review sought evidence for interventions that would prevent or reverse the effects of chronic stress. But if we are to have any confidence that translational CVS studies provide a foundation for potential clinical interventions, we must take an evidence- and ethics-informed approach to their design."
#chronicVariableStress #stress #reproducibility #ethics #effectSize #translationalResearch #physiology
Sharing is caring!
#OpenScience practices (e.g. preprints) increase the impact of research articles as measured by citations. #preprint from Giovanni Colavizza and colleagues.
#preLight prepared by Priyanka Pant, Katarzyna Lepeta, Shalini Roy Choudhury & Reinier Prosee
#preLight 👉 https://prelights.biologists.com/highlights/an-analysis-of-the-effects-of-sharing-research-data-code-and-preprints-on-citations/
#sharing #preprints #code #data # collaboration #science #ResearchCulture
I cannot stress enough how good the Atkinson Hyperlegible font is: https://brailleinstitute.org/freefont
It's very pleasing on the eyes and it helps everyone understand and read your text, plus - it's completely free, even for commercial purposes!
What's not to love?
Reproducing bioimages and data analysis is a problem in the scientific world. No guidelines on how to do this, nor do journals have any recommendations for authors, until now! We have teamed up from around the world and developed a checklist to help make science reproducible👇
http://arxiv.org/abs/2302.07005
Reboosts appreciated
Just finished my first test using #shiny with #python!
I am thinking of creating a few of these for my image analysis course (because there is not enough stuff to do already 🤣)
Here it is
https://apps.nicolaromano.net/BitDepth/
And code here, feel free to modify/reuse at will!
https://github.com/nicolaromano/BIA4/tree/main/Apps/BitDepth
Do you use anything similar? Do you find it effective?
Basically I feel a little silly even posting this, because to me it's obvious. It's like there is a big red button that says "Fascism" and I'm like "do I really need to say that I think pushing that button is a terrible idea?"
But just in case? Under no circumstances should we push the big red button.
Elect Biden again and proceed to make him *miserable*
Better than being too miserable to get anything done.
#Introduction Hello. I'm a law prof, a philosopher, a progressive. I've deactivated #twitter and am searching for a new place to learn and to think out loud. #politics #law #democracy #elections #art #literature #history #science #books
Senior lecturer at the Zhejiang-Edinburgh Joint Institute (ZJE) and Edinburgh University.
Undergraduate Programme Coordinator, Biomedical Informatics at ZJE.
I teach #imageanalysis & #dataanalysis with #RStats & #python. I study #heterogeneity in #pituitary (and other) cells.
I'm also very interested in #reproducibility and #openscience.