Even when stimuli and tasks are held constant, brain activity fluctuates markedly across trials, yet it is not well understood how these fluctuations affect decision-making and behavior. Here we address this gap in knowledge using a convolutional neu...
The glycan distribution on cells is governed by the stochastic activity of different families of enzymes that are together called ‘glycoEnzymes’. These include ~400 gene products or 2% of the proteome, that have recently been curated in an ontology c...
Gaining insight into the spectral and temporal alterations in brain connectivity associated with Alzheimer’s disease (AD) may offer pathways toward more informative biomarkers and a deeper understanding of disease mechanisms. We propose FINE (Frequen...
Activity cliffs remain a key challenge in computational drug design, defying even modern machine learning approaches. Here, we present a dual approach that allows either navigating a structure-activity landscape to quickly identify activity cliffs, o...
The ion channel (IC) genes encoded in the human genome play fundamental roles in cellular functions and disease and are one of the largest classes of druggable proteins. However, limited knowledge of the diverse molecular and cellular functions carri...
Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated behavior detection and allow high-throughput preclinical and mechanistic studies. An integrated hardwa...
DNA methylation is a conserved epigenetic modification essential for maintaining genome stability. However, how methyltransferases maintain CG methylation within compact chromatin, including centromeres, remains unclear. In humans, CDCA7 is necessary...
Deep neural networks (DNNs) are a leading computational framework for understanding neural visual processing. A standard approach for evaluating their similarity to brain function uses DNN activations to predict human neural responses to the same ima...
Understanding how microbial communities respond to disturbance remains a fundamental question in ecology, with broad implications for biodiversity, ecosystem function, and biotechnology. Trait-based approaches offer general rules to predict community...
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