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We then trained the model on mESC data and applied it on each of the four human cell-type data and achieved an AUC = 0.92 for P493-6, 0.90 for MM1.S, and 0.86 for U87 cells (Fig. 5a).
The authors in [46] utilized sketching algorithm called count-min sketch algorithm to compress vehicular movement data and achieved compact communication.
Hackmack et al. [100] firstly used the dual-tree wavelet transform to extract features, and then used a linear SVM to discriminate multiple sclerosis from NC. Dukart et al. [101] used the meta-analysis- based-SVM to diagnose AD and NC on both MRI and PET data and achieved an accuracy of 90.0 %, a sensitivity of 91.8 % and a specificity of 87.8 %.
We collected necessary data and achieved theoretical saturation.
For the datasets with severe class imbalance, MiRNAClassify demonstrated its ability to process the imbalanced data and achieved the best performance.
Therefore, we also tried to predict NAGNAG AS in P. patens using a Naive Bayes classifier trained on H. sapiens data and achieved an AUC of 0.90, 0.99 and 0.97 for the EI, E and I forms, respectively.
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The embedded database SQLite manages the data and achieves wireless communication by using Bluetooth.
The results demonstrate that the proposed method is able to learn features adaptively from frequency data and achieve higher diagnosis accuracy than other comparative methods.
The results show that the new method can effectively filter noisy data and achieve good clustering results with stronger robustness than other methods.
The sketching method uses count-min sketch algorithm to compress vehicular movement data and achieve compact communication.
Microsoft has an extensive global datacenter footprint, and cloud services that are secure by design and capable of providing the scalability and flexibility required to assess and manage risk, protect data, and achieve compliance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com