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Alessandro Vasciaveo's Projects

cellbox icon cellbox

CellBox: Interpretable Machine Learning for Perturbation Biology

cpa icon cpa

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

isthmus-progenitors-at-cell icon isthmus-progenitors-at-cell

Code for the paper associated to "Isthmus progenitor cells contribute to homeostatic cellular turnover and support regeneration following intestinal injury"

lanyon icon lanyon

A content-first, sliding sidebar theme for Jekyll.

medium icon medium

Code related to blog posts on my Medium page

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

pyviper icon pyviper

Porting of Protein Activity and Pathway Inference to single cell and Python.

searchin icon searchin

[OLD version] - Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Networks (SEARCHIN)

viking icon viking

Virtual-Inference of Kinase INhibiton by Gene regulatory networks (VIKING)

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