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The model was trained on mouse cell-type data and applied on human cell-type data, achieving an AUC = 0.90 (Fig. 5c).
Next, the model was trained on human cell-type data and applied on mouse cell-type data, achieving an AUC = 0.85.
This year, a multi-institutional team including Phillippy, Loman and Simpson reported the assembly of an entire human genome using only MinION data, achieving high contiguity and accuracy4.
The resulting detection system was tested with real and simulated data, achieving high detection rates while the false alarm rate remains low.
This is accomplished by partitioning the typical Switched Capacitor Array structure into two pipelined, asymmetric stages and introducing FIFO queue-like control circuitry for captured data, achieving total independence between the capture and readout operations.
The technique was shown to be effective on simulated data achieving good computational efficiency with an increase in the number of segments used to divide the data.
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The results were compared with data achieved from constant amplitude testing.
The data achieved indicated that its performance could be comparable to that of commercial one.
The data achieved has been made available online at www.materialsdatacentre.com for ongoing model development and validation.
The test setup and data achieved in this study are vital in the design of next generation high temperature structures.
Thoracic sample data achieved a median SNV FF FFPE overlap of 75% when filtering out variants with AFs lower than 0.02, making this tissue type the best-performing one (Supplementary Table S9).
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CEO of Professional Science Editing for Scientists @ prosciediting.com