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The experiments are performed using three manually compiled datasets; two of them are captured from Amazon and one dataset is assembled from IMDB movie reviews.
The approach clearly shows significant improvements in the degree of correspondence found across datasets, without any loss of internal coherence within each of the initial datasets from which the integrated dataset is assembled.
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After pre-processing, the 454 dataset were assembled with assembler of Newbler2.0.01.14; and the default parameters were applied.
A high quality bioactivity dataset was assembled by keeping only assay-independent bioactivity information, namely: the constant of inhibition, K i, and the constant of dissociation, K d.
The drug dataset was assembled by merging molecules obtained from the DrugBank [22] and a subset of Kyoto Encyclopedia of Genes and Genomes database (KEGG DRUG) [23].
An extensive dataset was assembled containing wood density measurements from historical studies carried out over a period spanning more than 50 years.
The aminergic GPCRs dataset was assembled by gathering bioactivity information of 91 different receptors (9 species) from ChEMBL 15, [39] producing a total number of datapoints of 24,593.
The dataset was assembled by random sampling from the Maybridge catalogue (2198 selected registers) and from our own library (441 selected registers).
This dataset was assembled by Weber et al. [51] to create 3D QSAR models that could explain the determined selectivities between three CA isoforms (CA I, CA II and CA IV).
A reference dataset was assembled from nuc LSU sequences published in GenBank.
In contrast to the synoptic grid data from 1986, the 2000 dataset was assembled from different national surveys, which led to increased spatial coverage.
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