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Validation of networks with biological results is a difficult area and this has been attempted, to some extent, by simulating microarray-like data using some form of numerical modelling [19], [20], but it is generally accepted that "assessments of methods performances remains a challenge.systematic validation is crucial, since it shows strengths and weakness of the methods" [19].
Such a case was also observed during assessments of methods wherein relationship between DUF4352 and Immunoglobulin fold was recognised using designed sequences.
36 This tool includes assessments of methods used to randomise participants, allocation concealment, methods used for blinding the participants and the researcher, and methods used for dealing with incomplete data (number lost to follow-up, reasons for drop out).
It is known that the assessments of methods from subjective groups carry a wide margin of error, so, in many cases, they do not meet the needs of clinicians.
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Kanitz, A. et al. Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data.
an initial assessment of methods to measure and visualize the impact(s) of participatory media.
Keane, T. M., Creevey, C. J., Pentony, M. M., Naughton, T. J. & Mclnerney, J. O. Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justified.
Keane, T. M., Creevey, C. J., Pentony, M. M., Naughton, T. J. & McInerney, J. O.. Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justified.
MD also outperformed all VSL2 methods that we tested, including VSL2 (AUC = 0.77), one of the most accurate predictors at the 7th Critical Assessment of methods of protein Structure Prediction (CASP7) [61], [61].
In this respect, it follows the well-established Critical Assessment of methods of protein Structure Prediction (CASP) [3], [4], [5], [6], [7], [8], which has spurred innovation in this field.
Simply stated, some studies are better than others and this requires a critical assessment of methods, potential confounders, conclusions, etc.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com