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Nearest neighbour approaches generally work well when there are a few attributes and many samples. The small number of attributes can be used one at a time, in no speci c order, to generate a multidimensional space onto which each sample can be projected as a point. If, after one cycle through the small number of attributes, it is not possible to locate each sample in its own unique space, the attributes can be reused over and over until each sample is uniquely located. However, many problems in bioinformatics are characterized by a few samples having very many attributes. For instance, a family of proteins may consists of about 20 actual sequences (samples), each of which can contain very many, possibly hundreds or thousands, of residues (attributes called residue 1 , residue 2 , etc.). If the attributes are binary (e.g. yes/no , on/off ) and the number of attributes a is such that 2a < n, where n is the number of samples, attributes can be reused (as in Figure 5.1) until a unique sample at each leaf of the decision tree results. However, if there are many more attributes than samples, the problem arises of deciding which attributes to use, since not all of them will need to be used to generate the decision

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Answer: 2 i( 1/2) i. 3, 0, 3 gives simple poles, all three inside 28. z 3 9z z(z 3)(z 3) 0 at z C: z 4. From (4), Sec. 16.3, we get the residue

(1.8)

[365] [365] [365] [365] [347] [42] [42] [365] [365] [365] [347] [365] [365] [365] [42] [42] [42] [42]

ci xi = corrective terms for not included effects at time of interlaboratory tests;

Again, the use of styles is preferred over individual inline tags. If you need text rendered in a monospace font, consider directly specifying the font parameters using styles instead of relying upon the <tt> tag.

Nonbreaking spaces have long been used to force formatting on the client browser. For example, to indent a line by three spaces, HTML coders would use something like the following:

This process of expanding (branching) nodes and then jumping to which ever route has least actual cost (binding to that route) is called branchand-bound (or best- rst) search. An example of branch-and-bound working on the example graph is given in Figures 3.8 and 3.9.

* Bonus: All the form validationJavascript functions being used in the VBS system are embedded into the HTML file JavaScriptCode.htrn1 (Figure A2.4), which is invoked by the Java class JavaScriptCode

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