Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
laser decrease » larger decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
laser decrease » larger decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
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13701
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Confirmation of microarray findings with RT-qPCR.
Published 2015“…<p>(A) Three genes from the focal adhesion, cytoskeleton and ECM gene set (Lamc1, Dock1 and Thbs2) were selected and confirmed to be decreased 6hr following adipogenic induction in FTO knock-down cells. …”
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13708
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13709
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13710
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13711
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13712
Effect of pentosan polysulfate sodium on the serum levels of chemokines and cytokines involved in inflammation.
Published 2021“…<b>(E)</b> CXCL13 expression was significantly increased between CHIKV-infected untreated and CHIKV-infected PPS-treated groups (41239.5 ± 3612.3 vs 15868.6 ± 3636.2 **P = 0.0080)). <i>One-Way ANOVA with a Tukey’s post-test</i>. <b>(F-L)</b> Chemokines/cytokines that displayed a decreased trend in protein expression without meeting statistical significance are also shown.…”
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13713
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13714
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13715
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13716
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13717
Flowchart of CNNBLSTM algorithm.
Published 2025“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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13718
Comparison of TL and VL of different algorithms.
Published 2025“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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13719
Analysis of ST characteristics of TF.
Published 2025“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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13720
Schematic diagram of STTFP model.
Published 2025“…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”