Kevin Sung, Mackenzie M Johnson ... Frederick A Matsen
Convolutional embedding models efficiently capture wide sequence context in antibody somatic hypermutation, avoiding exponential k-mer parameter scaling and eliminating the need for per-site modeling.
Eloise Giraud, Michael Lynn ... Jean-Philippe Thivierge
A novel software tool and ground-truth optogenetic validation is provided to automatically detect putative excitatory and inhibitory cells in neuronal recordings performed with large-scale multielectrode arrays.
Michelle Jin, Simon O Ogundare ... Christine Ann Denny
A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.
Reaction-diffusion network modeling unveils general design principles that both stabilize cell polarization patterns and enable tunable interface localization, reconciling extensive experimental observations and deepening the understanding of asymmetric cell division.
A simple mathematical model, incorporating reversible deactivation of β-cells, can potentially explain the rapid onset and remission of a diabetes subtype, ketosis-prone diabetes.
