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Such learning based method has also been explored extensively in figure ranking tasks including ImageCLEF, the evaluation competition of cross language image retrieval as part of the Cross Language Evaluation Forum CLEFF) [41].
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Sequence homology based methods have also produced libraries where 50% of the variants have improved thermostability.
Freezing-thawing based methods have also been developed to fabricate supermacroporous interconnected-pore gels (i.e., cryogels) [35], [36], [37], [38], [39].
As an alternative, wavelet transformation based methods have also been used for spectra de-noising [ 10- 12].
Gene set based methods have also been developed to investigate phenotypic changes at the pathway level [ 4].
Metabolomics based methods have also been applied in translational studies to characterize and understand genetically modified rodent models of different disease [ 15, 16].
Similar NGS based methods have also been shown to be practical for mutation identification in model organisms, including D. melanogaster (5, 6).
The LD-based method has also its limitations.
The relationship between NEFF and the modeling capability of a profile-based method has also been studied before (Casbon and Saqi, 2004; Sadreyev and Grishin, 2004).
A semi-automatic method has also been proposed based the topological difference between real and random co-expression networks [ 8].
The ETAAS analytical method has also been cross-validated against a method based on inductively coupled plasma mass spectrometry (Palmer et al. 2006).
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CEO of Professional Science Editing for Scientists @ prosciediting.com