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The application of PCA to the high carrier count fingerprints leads to a performance degradation in the one-vs-all mode, which can be recovered, however, by preferring the more sensitive one-vs-one approach.
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Also, although fingerprints traditionally are bit vectors a count fingerprint was also introduced making fingerprints based on integer vectors supported in CDK as well.
For each active, two decoys with a Dice similarity > 0.5 using a simple atom-count fingerprint (ECFC0) were randomly selected from ZINC, resulting in total 10000 decoys.
In the example in Fig. 18, the intermediate result set computed by the 'room-count' fingerprint can be reused if the new graph has the same number of rooms.
While indoor RSS localization using WiFi, as well as some rather mediocre results with low-carrier count GSM fingerprints, have been discussed elsewhere, this is to our knowledge the first study to demonstrate that good quality indoor localization information can be obtained, in diverse settings, by applying a machine learning strategy to RSS vectors that contain the entire GSM band.
Frequency plot of the total count of fingerprint reference shapes set per conformer for the first ten conformers of the 26,157,365 PubCompoundompound records in the Search set, corresponding to 246,874,949 conformers.
Judge Pollak's initial decision in January delighted defense lawyers and alarmed law enforcement officials, who had counted on fingerprint evidence as nearly unassailable.
Several studies have reported greater dermatoglyphic FA for both a-b ridge counts and fingerprint patterns in individuals with schizophrenia compared to normal controls [ 14].
In the CAESAR application, we implemented an integrated index using both count descriptors and fingerprints, taking account of different aspects of chemical similarity in order to obtain a broad measurement of similarity.
Molecular fingerprints counting atom pairs at increasing through-space distance intervals were designed using either all atoms (16-bit 3DAPfp) or different atom categories (80-bit 3DXfp).
An example of a data-mining approach is MetaPrint2D [12], an online metabolism prediction tool trained on the Accelrys Metabolite Database [13] that makes SoM predictions based on occurrence counts of atomic fingerprints within the database where they appear as SoM versus non-SoM.
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