Fabrizio Angaroni

ph'nglui mglw'nafh Cthulhu R'lyeh wgah'nagl fhtagn. Theoretical physicist, Post-doc in computational biology at @humantechnopole

[Daniele Ramazzotti @ramazzottidani]

Thrilled to share our latest work published in npj Precision Oncology!
We present ASTUTE, a computational framework linking somatic mutations to gene expression, revealing the impact of KEAP1/NFE2L2 mutations across cancers.
🔗 https://t.co/S86eMMDrD0
1/6

[Nicolò Caporale @NicoloCaporale]

Cannot be more proud of our creature..

[Giovanni Santacatterina @giosantacatt]

1/ Meet DEVIL, a Bayesian framework for single-cell DE testing that is patient-aware and GPU-powered. It delivers robust results across millions of cells in large cohorts, bridging the gap between statistical rigor and computational scale.
🔗https://t.co/2TlJ9Cxoc3

[Giulio Caravagna @gcaravagna]

Our new preprint to scale single/cell differential expression testing with millions of cells from multiple individuals. A beautiful combination of statistics and implementation for advanced GPU architectures. Kudos to @giosantacatt and Niccolò for driving this beautiful work!

[Quant Science @quantscience_]

A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market:

Time Series Momentum

This is how: 🧵

[Michela @MikiColombo_]

🚨 PhD Opportunity!
Join us @NicoleSoranzo’s lab @Humantechnopole to work on the ERC-funded IMPACT project!
Are you excited about:
🔬 Genome editing
🧫 Stem cell models
🧬 Single-cell genomics?
https://t.co/lL0lm3R7yj

#PhD #SingleCell #StemCells #IMPACTproject #ERC

[Wassim Tenachi @WassimTenachi]

✨ Ever wanted to try Symbolic Regression?
Φ-SO just got simpler!

📦 One-line install
🐍 Works seamlessly with:
- Python 3.12
- Latest NumPy/PyTorch/SymPy

No dependency hell — just clean equation discovery.

Get started:
https://t.co/6GTNrcgACJ

[Human Technopole @humantechnopole]

🔬 New open-source tool! #Kinbiont automates the analysis of microbial growth and helps scientists uncover how bacteria respond to their environment.

🧠 Developed by our @fepinheiromycin Group, now published in @NatureComms.
https://t.co/fJQkw9BD2e

[horse dentist @equine__dentist]

they found love in a hopeless place

[Fabrizio Angaroni @Anga_F]

@AGraudenzi @fepinheiromycin Thanks Alex. i have learned from you!!

[Alex Graudenzi @AGraudenzi]

Incredibly proud of my former lab member @Anga_F and his work with @fepinheiromycin's team on this great new paper, out now in Nature Communications!

The #compbio community working on #bacteria should give it a read!

[Fernanda Pinheiro @fepinheiromycin]

From our lab to yours! 🤓✨

Kinbiont combines dynamical models with explainable machine learning to streamline data analysis and support theoretical formulation in microbiology

Out now in @NatureComms: https://t.co/MGNcV51Uve
with @Anga_F, @UltimoPer, Edgar, @humantechnopole

[Fabrizio Angaroni @Anga_F]

📦 Kinbiont is open-source and freely available via the Julia package manager or GitHub:
👉https://t.co/R8kR3i2cpy
We hope it becomes a useful tool for your microbial kinetics analysis!
6/6

[Fabrizio Angaroni @Anga_F]

Finally out! 🎉 Our first work at @humantechnopole is published in @NatureComms:
"Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont"
📄 https://t.co/ojWhoVr5oH

[Fabrizio Angaroni @Anga_F]

Need dose-response models? Just provide concentrations — Kinbiont uses symbolic regression to generate mathematical models of the response curves.

5/6

[Alex Graudenzi @AGraudenzi]

Less is more?
Our new RESOLVE framework fits cancer mutational profiles with fewer #MutationalSignatures than those included in catalogues (eg @cosmic_sanger), revealing that a few key processes drive most cancers, whereas rare ones play a minor role

Out now in @NAR_Open!

[Daniele Ramazzotti @ramazzottidani]

Meet RESOLVE, our new method for mutational signature analysis just published in Nucleic Acids Research! Applied to 20,000 adult and pediatric cancers, it reveals key links to driver mutations and clinical outcomes. 🔗 https://t.co/fO82tcCFGL #CancerGenomics #MutationalSignatures