I am working in the #biotechnology space, using #Bioinformatics, #DataScience and (meta)genomics to develop new therapies for nasty diseases.
I'm also an elder millenial from #Italy, living in #Paris and passionate about science, food, #crossfit, #weightlifting, #calisthenics
| linkedin.com/in/francescostrozzi/ | |
| GitHub | github.com/fstrozzi |
| Orcid | orcid.org/0000-0002-6845-6982 |
Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects
Our perspective with @[email protected] and @[email protected] just came out on @[email protected]: “Statistical inference links data and theory in network science”
We argue how Bayesian inferential methods are essential for a robust network science.
https://www.nature.com/articles/s41467-022-34267-9
🐦🔗: https://twitter.com/tiagopeixoto/status/1590704176631537665
Theoretical models and structures recovered from measured data serve for analysis of complex networks. The authors discuss here existing gaps between theoretical methods and real-world applied networks, and potential ways to improve the interplay between theory and applications.
This looks really interesting
Have you ever wished to sequence SPECIFIC bacteria but NOT the vast background in #microbiome? Today, we introduce *mEnrich-seq*: #methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome. 4yr project led by @[email protected]! https://www.biorxiv.org/content/10.1101/2022.11.07.515285v1🧵1/10
🐦🔗: https://twitter.com/iamfanggang/status/1590157701782573057