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Our method represents an improvement over CStaR, IDA, and regression based methods as demonstrated for both simulated and two yeast datasets.
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Most recent deep learning based methods have demonstrated superior performance over the previous hand-crafted methods.
The better performance of DSSP based methods demonstrates the limitations of the methods (PSIPRED & BetaTurns) used for predicting secondary structure.
The better performance of DSSP based methods demonstrates the limitations of methods (PSIPRED & BetaTurns) used for predicting secondary structure.
Temperature scenario based method demonstrated in Sect. 3 is proved to be more effective than other temperature forecasting techniques such as quantGAM [14] in this specific case study.
The RT-qPCR based method demonstrated more DTC-positive samples than ICC.
As proximity-ligation based methods of DNA sequencing preserves chromosome-span phase information, we have utilized this principle to demonstrate its utility towards generating full-length phasing of MHC and KIR loci in human samples.
This demonstrates that, by considering multiple node-features jointly, pattern recognition based methods can point out exceptional network components.
Experimental results demonstrate that our approach empirically surpasses strong feature based and neural network based methods.
Our attempt demonstrates that such an integrative use of a policy-analysis orientation and EIA based methods may help to overcome the above-mentioned challenges in a large-scale SEA, such as this one.
These can be broadly classified as nucleotide compositional methods, phylogenetic methods and similarity based methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com