Computer scoring

For diagnostics it will be interesting to compute score distance and orthogonal distance for each object and to plot them together with critical boundaries this will allow distinguishing regular observations from outliers. The score distance SD, of object i is computed by... 

The D-score is computed using the maximum dissimilarity algorithm of Lajiness (20). This method utilizes a Tanimoto-like similarity measure defined on a 360-bit fragment descriptor used in conjunction with the Cousin/ChemLink system (21). The important feature of this method is that it starts with the selection of a seed compound with subsequent compounds selected based on the maximum diversity relative to all compounds already selected. Thus, the most obvious seed to use in the current scenario is the compound that has the best profile based on the already computed scores. Thus, one needs to compute a preliminary consensus score based on the Q-score and the B-score using weights as defined previously. To summarize this, one needs to... 

A computer scores the math questions. For the multiple-choice math questions, the computer counts the number of correct answers and gives one point for each. Then it counts your incorrect answers and deducts one-quarter point from the total of your correct answers. For the grid-in math questions, the computer counts the number of correct answers and gives one point for each. No points are subtracted for incorrect answers to the grid-in questions. If the score that results from the subtraction is a fraction of a point,... 

Rather than using an amino acid sequence to search SWISS-PROT, AACompI-dent of ExPASy Proteomic tools (http //www.expasy.ch/tools/) uses the amino acid composition of an unknown protein to identify known proteins of the same composition. The program requires the desired amino acid composition, the pi and molecular weight of the protein (if known), the appropriate taxonomic class, and any special keywords. The user must select from one of six amino acid constellations that influence how the analysis is performed. For each sequence in the database, the algorithm computes a score based on the difference in compositions between the sequence and the query composition. The results, returned by e-mail, are organized as three ranked lists. Because the computed scores are a measure of difference, a score of zero implies that there is exact correspondence between the query compo-... 

All remainingligands are docked into the target protein and a list of some hundred to several thousand small molecules, each with a computed score, is produced. These have to be further analyzed to discard undesirable structures. Selection criteria could be any of the following ... 

After a new edition of a Subject Test is first administered, examinees responses to each test question are analyzed in a variety of ways to determine whether each question functioned as expected. These analyses may reveal that a question is ambiguous, requires knowledge beyond the scope of the test, or is inappropriate for the total group or a particular subgroup of examinees taking the test. Answers to such questions are not used in computing scores. 

Any new set of measurements (a vector Xi v) describing the process in a given moment (or a new product) will be projected onto the previously defined model by using the following equation Si, c = Xi, v X L(.,v. From the computed scores, it can be estimated how far from the barycenter of the model, i.e., from the ideal process (or product) it is. 

Because the computed scores are a difference measure, a score of zero implies that there is exact correspondence between the query composition and that sequence entry. 

Incompletely documented compounds are dealt with in the following way when data for the unknown compound are missing, the respective priorities are set to zero and no comparison is made. As the similarity measure S is printed out relative to what would be the value at identity, there are no problems in comparing S values. If some data concerning a reference compound are missing, instead of performing a comparison the computer scores it at a certain percentage (e. g. 85%) of the value for complete correspondence to ensure that premature breakoff does not occur as a result of comparisons not actually performed. 

Thoman, EJl., and Glazier, R.C. (1987) Computer Scoring of Motility Patterns for States of Sleep and Wakeftihiess Human Infants, Sleep 10,122-129. 

Carroll, DA., Denenberg, V.H., and Thoman, EJl. (1993) Reliability and Validity of the Computer Scoring of Behavioral Sleep-Wake States in Rats and Rabbits, Physiol. Behav. 54, 269 273. 

The programs generate a list of protein entries, ordered by a score that tries to reflect the fit between theoretical and experimental parameters. It is therefore evident that the order of suggested proteins in the result hst is of paramount importance for a facilitated interpretation of the identification, in particular when manual intervention should be minimised. All programs compute scores for each hit some of these scoring systems are very simple, while others use probabilistic methods to increase confidence in the matching protein. A list of PMF tools and their URLs is given in Table 11. 

Build new data matrix X and use PCA to select the retain number of principal components and compute score matrix 7 and load matrix P . 

In subsequent work Mandel-Gutfreund and Margalit [12] used 43 known protein-DNA complexes to analyse the frequency of all pairs of amino acid-base interactions and construct a knowledge-based force field such as those used in the protein folding domain. They developed an additive scoring function based on the frequency distribution of the different pair interactions compared to the theoretical likelihood of their occurrence. The computed scores... 

This procedure is very effective, as it allows computing scores and residuals for the dependent and the independent blocks, which can be used for interpretation and/or for diagnostics, as in the two-way case (contribution plots, VIP... 

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