Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Abstract: We develop space-time adaptive processing (STAP) methods by leveraging the advantages of sparse signal processing techniques in order to detect a slowly-moving target. We observe that the ...
Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...
Abstract: Low-rank and sparse decomposition (LRSD)-based models are powerful and robust tools for infrared small target detection. However, due to the calculation of singular value decomposition (SVD) ...
A method for arrayed CRISPRi screening in organoids enables the investigation of morphogenesis in human stem cell-derived tissues, revealing the roles of ZIC2, SOX11, and ZNF521 in neural tube closure ...
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