Hamilton's rule can be violated when costs and benefits of cooperation are defined using the counterfactual method, and when they depend on the cooperation of others.

Kv1.1 potassium channels regulate postnatal neurogenesis in the hippocampus via increasing the membrane excitability that activates the TrkB signaling pathway in a cell-autonomous manner.

Single-cell data analysis must be guided by an underlying model.

The proportional recovery rule, an apparently simple model that nonetheless requires careful statistical treatment, remains an important biological and predictive framework for stroke recovery.

Model identification of neural encoding is an accessible system for the analysis of neural data that allows identifying and characterizing arbitrary relationships between neural activity and task-related variables such as behavior, stimuli, or internal states.

Estimating cell type composition from a gene expression mixture remains a challenging task, as evidenced by how a simple regression model outperforms many state-of-the-art spatial deconvolution methods.

Computational methods were used to develop accurate manual scorecards for early detection of participants at risk of type 2 diabetes based on the UK Biobank database.

Computational analysis reveals that additive summary statistics from genome-wide association studies can provide evidence of non-additive heritability in complex traits.

Applied and computational results show how dimensionality reduction approaches can help in grouping correlated genetic variant-exposure associations and improve causal inference in the Mendelian randomisation framework.

The estimation of functional connectivity network matrices from resting state fMRI is driven by a combination of spatial and temporal factors in the presence of spatially overlapping network structure.