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Bioconcentration. In aquatic toxicology, bioconcentration is the accumulation of a water-borne chemical substance in an organism exposed to the water. [ 1][ 2] There are several ways in which to measure and assess bioaccumulation and bioconcentration. These include: octanol-water partition coefficients (K OW ), bioconcentration factors (BCF ...
The Biopharmaceutics Classification System (BCS) is a system to differentiate drugs on the basis of their solubility and permeability. [1] This system restricts the prediction using the parameters solubility and intestinal permeability. The solubility classification is based on a United States Pharmacopoeia (USP) aperture.
The Variant Call Format or VCF is a standard text file format used in bioinformatics for storing gene sequence variations. The format was developed in 2010 for the 1000 Genomes Project and has since been used by other large-scale genotyping and DNA sequencing projects. [ 1][ 2] VCF is a common output format for variant calling programs due to ...
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It's also a far cry from the $1.5 million that the typical worker said they'd need to fund a comfortable retirement, ... according to new Fidelity data. But that reflects only about 500,000 ...
Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory, reliability analysis or reliability engineering in engineering, duration analysis or duration modelling in economics ...
Survival function. The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time. [ 1] The survival function is also known as the survivor function[ 2] or reliability function. [ 3] The term reliability function is common in engineering while the term survival ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]