To the Editor—Methods for analyzing single-cell data 1, 2, 3, 4 perform a core set of
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …

Traditional methods for matching in causal inference are impractical for high-dimensional
datasets. They suffer from the curse of dimensionality: exact matching and coarsened exact …

Predictive black-box models can exhibit high-accuracy but their opaque nature hinders their
uptake in safety-critical deployment environments. Explanation methods (XAI) can provide …

In single-cell RNA sequencing data, biological processes or technical factors may induce
an overabundance of zero measurements. Existing probabilistic approaches to interpreting …

Weighting problems in treatment effect estimation can be solved by minimising an appropriate
probability distance. Choosing which distance to minimise, however, can be challenging …

Numerous benchmark datasets exist to evaluate the ability of Large Language Models (LLMs)
for causal inference and reasoning. In this preliminary review, we propose four criteria that …

Variational autoencoders (VAEs) are popular for interpreting scRNA-seq data. However, the
unimodal prior distribution they typically assume is unrealistic: cells in most scRNA-seq …

• La Sociedad de Cirugía del Uruguay rinde hoy reverente homenaje a la memoria del
Profesor Clivio V. Nario, que fuera figura representativa en sus filas, cimentando su obra desde …

… Oscar Bermúdez in the session of homage to Dr. Clivio V. Nario; biographical sketch]. -
Abstract - Europe PMC … Oscar Bermúdez in the session of homage to Dr. …

En la provincia de Misiones, se puede detectar, que existen dos grandes focos de atracción.
La ciudad de Posadas al sur, e Iguazú al norte, Estos dos grandes nodos, absorben la …