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广东快乐十分中奖直三:Reply to Laing et al.: Accurate prediction of circadian time across platforms
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TimeSignature’s power is that it is highly accurate across transcriptomic platforms and experimental protocols. TimeSignature can be trained using data from a single platform/study and be applied to independent data without additional processing.
Demonstrating this robustness and generalizability required applying TimeSignature to as diverse a set of studies as possible (i.e., refs. 1??–4). Because not all studies had melatonin data, we chose to use draw time as a proxy for melatonin phase. Laing et al. (5) criticize this methodology; however, each of the studies (1??–4) selected subjects for whom circadian phase was well aligned with local time. We have confirmed that dim-light melatonin onset (DLMO)25%, the time at which 25% of maximum blood melatonin is reached, is strongly correlated with local time in studies with available melatonin data (1?–3) (Fig. 1). As expected, training on local time thus accurately predicts melatonin phase (Fig. 2, oTS).
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