The proper use of spike-in normalization in ChIP-seq improves sensitivity for detecting genome-wide changes between conditions, but improper use is common, calling some biological conclusions into ...
AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle ...
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