Doing #SingleCell #RNAseq? Ever wonder if all those clusters are real? Turns out most feature selection & clustering pipelines can't tell when there's only 1 cluster! But I found a solution! 🧵👇

Publication ce soir dans NEJM de l'essai PREVAC, large essai clinique randomisé en Afrique de l’ouest évaluant la sécurité et l’immunogenicité de 3 schémas vaccinaux contre Ebola.  Un succès grâce à un gros travail d’équipe et une large collaboration internationale  ! 💪

It is silly to try to separate data analytical methods into machine learning, AI and statistics. They cannot be separated from a historical point of view, from how they are used, for what they are used and by whom they are used

The Rdatasets website now hosts over 2000 datasets in CSV format. All data are free and documented. Perfect for teaching or if you're just looking for some data to play with. vincentarelbundock.github.io/Rdatasets/inde… #RStats #StatsTwitter #EpiTwitter #EconTwitter #PolisciTwitter

🐌 Frustrated with the speed of your #rstats code ? 🧑‍💻 🚀 "HeavyR: Fast & efficient R code made easy", our course with Robin Genuer is next June (2.5 days) 😎 🧑‍🎓 Register here: bit.ly/3QzjgmV 🥇 ℹ️ more info: [email protected]📩 #datascience #statistics

For a non-technical overview of this non-replicability written in magazine style with Sabine Hoffmann Heidi Seibold @[email protected] and A. Charlton, see our article in @Significance : rss.onlinelibrary.wiley.com/doi/10.1111/17… 4/n

Oh hi, I wrote a thing for IMS Full text here: imstat.org/2023/03/31/wri…

This is a great example of an increasingly serious problem in science. The workflow for #scRNAseq that #ChatGPT facilitates here is fundamentally flawed. But it's what is prevalent on the internet. When critical thinking is outsourced to others (or machines), we lose.

Follow-up thread on potential approaches by our group and many others towards addressing the REPLICATION CRISIS IN METHODOLIGAL/COMPUTATIONAL SCIENCE discussed in x.com/BoulesteixLaur… 1/n

🎙️ On this weeks episode we talk about a “Causal Quartet” a set of four datasets generated under different mechanisms, all with the same statistical summaries (including visualizations!) but different true causal effects (Plus a chat about M-bias!)

The number of single-cell RNA-seq studies with analyses based on the closed-source CellRanger (>=3) counting/quantification tool is truly astounding and quite depressing given the number (and quality) of the available open-source and transparent alternatives 😪...

In a recent preprint with Gennady Gorin (biorxiv.org/content/10.110…) we provide a quantitative answer to to this question, namely what information about variance (among cells in a cell type, or more generally many cell types) does a UMAP provide? A short🧵1/

Find all the fun things here! r-causal.github.io/r-causal-blog/

What is happening in single-cell genomics?! A new paper from the Karasuyama lab at TMDU - Tokyo Medical and Dental University (nature.com/articles/s4146…) shows three different RNA velocity / pseudotime plots, no pair of which agree, and then merrily goes on to tell some story. 👀

RNAseq counting tools are not perfect. I simulated 240 GTEx samples to test multiple tools. Below I show the difference between actual and estimated counts for each simulated sample. But, what is causing this? And will it affect differential expression? (1/7) #Bioinformatics

🌎 Excited to be heading to beautiful Portugal for my first International Symposium on Nonparametric Statistics! I'll be talking alongside Boris Hejblum (@borishej.bsky.social), Yanyuan Ma, and Rocky B about nonparametric methods to take advantage of auxiliary data in health settings! 🏥