This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
We used simultaneous multi-site neural ensemble recordings to investigate the representation of tactile information in three areas of the primate somatosensory cortex (areas 3b, SII and 2). Small ...
Univariate analysis showed that factors such as grade level, family economic status, reasons for choosing nursing major, exposure to AI related courses/training, and daily AI usage time had ...
The validation problems inherent in small-sample discriminant analysis are examined. Two recently developed alternatives to the more traditional methods are explained and illustrated in the context of ...
Last year, we celebrated 50 years since the first papers on fluorescence correlation spectroscopy (FCS) were published. It ...
For decades, evidence guiding the diagnosis of postpartum haemorrhage has been constrained by traditional aggregate data ...
Preserving DNA in biological samples has long posed a challenge for researchers, but the process may be about to get a lot ...
Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
A prosecutor’s drive to indict James Comey trampled over the Justice Department’s long tradition of keeping a distance from politics and the White House, and raised the prospect of more arbitrary ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
A recent study details the development of an LC–MS/MS method for detecting pesticide residues in a challenging matrix, chili ...
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