Check out one of mine, which will be direly counterproductive to learning how cryptics work!
Профиль
Gennady Gorin
🦠🧬📊bioinformatics, statistics, and stochastic processes.
340 подписчиков107 подписок441 постов
Публикации
⟳ Репост от Gennady Gorin
TL;DR: We've identified more than 100 cases of apparent manipulation in Thermo Fisher Scientific's antibody verification data. @sholtodavid.bsky.social @johanduchene.bsky.social reeserichardson.blog/2026/05/28/h...
⟳ Репост от Gennady Gorin
I'm a former Community Notes super-user interviewed for this piece. Whether the notes are written by people or language-mimicking algorithms, the central flaw of Twitter's Community Notes is the same as it's always been: it's a "fact-checking" system that doesn't involve the checking of facts.
Alexios MantzarlisToday on @indicator.media: A handful of anonymous bots have taken over fact-checking on X. This isn’t hyperbole. In the first three weeks of May, just eight AI contributors wrote 50.3% of all visible Community Notes on the platform.
⟳ Репост от Gennady Gorin
Arc Institute’s “MULTI-evolve” learns a classical additive model, not epistasis. Preprint (w/ Gian Marco Visani and Aayush Verma): www.biorxiv.org/content/10.6... Blog: dewitt-lab.github.io/posts/2026-0...
⟳ Репост от Gennady Gorin
Super excited to see this out! Fantastic collaboration with Luke O'Connor and trainees Amber Shen and Xinran Wang. Thread with details will come soon, but linear ARG provide a HIGHLY efficient representation of genotype data that can be treated as a linear operator www.biorxiv.org/content/10.6...
www.biorxiv.org⟳ Репост от Gennady Gorin
How every layer of science's "self-correcting machinery" failed when Iva Veseli and I simply wanted to reproduce the findings of a high-profile study on gut microbiome and autism: merenlab.org/2026/04/15/u...
⟳ Репост от Gennady Gorin
Friendly reminder that ordinal values admit an ordering, but no notion of distance. Without a notion of distance even the concept of linear models is ill-defined. Please do not use ordinary least squares to analyze ordinal data. For gratuitous discussion see betanalpha.github.io/assets/chapt....
Ordinal Modelingbetanalpha.github.ioOh, fantastic. You might also be interested in www.nature.com/articles/s41..., where we go into a great deal of detail on the multimodal and technical modeling.
Monod: model-based discovery and integration through fitting stochastic transcriptional dynamics to single-cell sequencing data - Nature MethodsMonod fits biophysically motivated models to single-cell transcriptomics data, empowering multifaceted and integrative insights of gene expression dynamics, stochasticity and regulation.www.nature.com