CytofRUV is a computational algorithm that effectively enables batch effect reduction in multiple CyTOF batches with an adaptable normalisation method and an R-Shiny application with diagnostics plots.
A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
The evidence of subspace computation in the lateral prefrontal cortex provides insights into the neural mechanisms underlying cognitive flexibility and interference between different cognitive processes.
The fruit fly estimates visual motion by incorporating ON-OFF asymmetric processing that only improves performance when stimuli have light-dark asymmetries matched to natural scenes.
Computational modeling of the brain’s navigation system reveals that place cells can drive the formation of hexagonal patterns experimentally observed in grid cells activity.
Mathematical and experimental analyses suggest that despite their complex architectures, multiple metazoan signaling pathways act in physiological contexts as linear signal transmitters.
To generate stable and robust connectivity refinements, the amplitude of spontaneous activity events in the developing visual cortex adapts to the recent history of cortical activation.
The dependence of incentive value attribution on the anticipation of rewards within a given context is explained via a normative Bayesian account of how rewards map to incentive values.
QuantEv is a fully automatic and semi-parametric method that allows quantitative analysis of the spatio-temporal distribution of complex molecular trafficking objects at the scale of the whole cell.
