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Provisional functional assignments for the gene models were produced using InterProScan65 and BLASTP66 against annotated proteins from Arabidopsis thaliana, G. max and M. truncatula, with outputs processed using AHRD (https://github.com/groupschoof/AHRD), for lexical analysis and selection of the best functional descriptor of each gene product.
The top-ranked descriptor of each set was selected from 521 descriptors of eminent classes.
A descriptor of each 3D model is constructed from multiple orthographic view directions.
The extracted features construct a descriptor of each block that maximizes the separability between the blocks.
Each SURF feature descriptor of each object image is assigned a label (word), the closest k-means centre to it.
Finally, the descriptor of each block is used as input to a trained support vector machines that classify the block as text or not.
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Quantum mechanics and statistical thermodynamics are used in order to extract information on the molecular descriptors of each compound and develop simple analytical expressions for all basic thermodynamic quantities of mixtures.
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We illustrate fundamental descriptors of each injury that a clinician should expect in a radiology report.
Calculate all available scalar (non-vector) RDKit descriptors of each 'A' these are the input features of the model.
In our experiment, the descriptors of each image are 50,000 dimensions and are then reduced to 4096 dimensions by PCA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com