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Alignments data representations

High loading of PCf indicates that this vector is aligned close to the original data values that is, the transformation to the feature space defined by the new principal components matches the important (perhaps the most important) trend in the raw data. Conversely, low loading means that the PC does not match a significant trend in the data. Typically, 2-3 PCs can characterize most experimental datasets. This then allows a 2-D or a 3-D graphical representation of the results, as shown in Fig. 10.6. As powerful as it is, the PCA fails in cases where the individual sensors in the... [Pg.321]

A barcode basically is a machine-readable visual representation of information printed on the surface of objects. There are several different kinds of barcodes, for example, barcodes which store data in the widths and spacing of printed parallel lines, and those that store data within the patterns of dots, or concentric circles, or even hidden within images. This encoded data on the barcodes is read by barcode readers, which update the backend ERP, SCM, or WMS systems. However there are some inherent issues with using a barcode, for instance, barcodes become ineffective in rain, fog, snow, dirt and grime, and so forth (Tecstra, n.d.). Since barcodes rely on optical sensors, any minor change on the barcode print can make it difficult to read. This can be commonly seen at point of sale (POS) in the supermarkets, where the POS operator scans the barcode several times because it is either wet or not aligned properly. [Pg.113]

Representation clauses for specifying the desired address, size, alignment, and layout of data in memory. [Pg.189]

D-QSAR studies demonstrated that there could be more than one way to fit structure-activity data within a QSAR methodology. A receptor-independent 4D-QSAR study identified the hydrophobic nature of a HIV protease receptor site and helped in structural modification to improve the potency of the AHPBA inhibitors [241], A 4D-fingerprint-based QSAR model developed for AHPBA inhibitors of HIV was generated independent of any receptor structure or alignment information [126]. These models exhibited comparable statistical data with CoMFA, CoMSIA and H-QSAR approaches. This study proved that genuine representation of 3D and conformational properties of compounds is possible using this approach. [Pg.254]


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Data alignment

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