Regression is used commonly to test hypotheses involving causal relationships, with the choice of model being based on its significance and goodness of fit. Classification Learning Classification supervised learning is a form of pattern recognition designed to predict a single, nonnumerical output, or ...
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Surface charge of biological and medical nanocarriers has been demonstrated to play an important role in cellular uptake. Owing to the unique physicochemical properties, charge-reversal delivery strategy has rapidly developed as a promising approach for
Besides, we also utilize the binary classification metrics to evaluate the performance for each therapeutic peptide function prediction task in a one-versus-all form, including the area under the ROC curve (AUC) [17], Matthews’s correlation coefficient (MCC) [18], the F1 measure [19], and...
Through computational methods based on association analysis between a pair of drug-disease (DD), one can predict new applications of those range of known drugs used previously. In addition, related reliability has also been proven experimentally. Two categories of such methods for assessing computation...
These high-throughput screening research resources collectively form a vast knowledge base [1]. Based on these abundant data resources, numerous researchers have established various DRP models to predict the response of anticancer drugs. Menden et al. compared anticancer drug sensitivity prediction models...
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As the TE begins to form a specialized support structure, the ICM cells remain undifferentiated, fully pluripotent and proliferative [1]. The pluripotency of stem cells allows them to form any cell of the organism. Human embryonic stem cells (hESCs) are derived from the ICM. During the ...
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In the workplace, if that pleasure comes from a triumph which swells our self-respect, people will try to repeat the accomplishment. But repeating that accomplishment is often not realistic, which can lead to severe negative emotional consequences when it doesn't reoccur. Th...