DNA methylation is a highly studied epigenetic modification that is involved in regulating genome function and plays fundamental roles in development and disease. 1 It is linked to a broad range of ...
Gene expression can in theory be modulated at the level of transcription or translation, but both of these processes have constraints that complicate prediction of their outputs. To obtain a better ...
Many DNA methylation (DNAm) data are from tissues composed of various cell types; hence, cell deconvolution methods are needed to infer their cell compositions accurately. However, a bottleneck for ...
Immune cell composition is highly divergent across different tissues and diseases. A comprehensive resource of tissue immune cells across different conditions in mouse and human will thus provide ...
After subarachnoid hemorrhage (SAH), up to 95% of surviving patients suffer from post-SAH syndrome, which includes cognitive deficits with impaired memory, executive functions, and emotional ...
Chronic, low social status-induced stress predicts disease susceptibility, but the molecular basis for this relationship is not well understood. We manipulated social status in female rhesus macaques ...
Bio: Gregory led data mining and consulting groups at GTE Laboratories, Knowledge Stream Partners, and Xchange. He has extensive experience developing CRM, customer attrition, cross-sell, segmentation ...
Cells are never exposed to only one signal at a time. They are bathed in a complex, dynamically changing milieu of growth factors, nutrients, cytokines, and hormones, which creates enormous complexity ...
Jo Hardin’s areas of expertise include statistical analysis of high-throughput genetic data which don’t conform to technical conditions in standard methods. She works on problems of normalizing data ...
Here, we analyze gene-expression levels across 7 species of Drosophila using the framework provided by the OU model. In the analysis, we compare expression divergence between species with estimates of ...
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