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2003 Course Bio-Informatics (Elective I)

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Total No. of Questions :12] P1364 [Total No. of Pages :3 [3864]- 419 B.E. (I.T.) BIO-INFORMATICS ( 2003 Course) (Elective - I) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates: 1) From section I answerQ.1 or Q.2 , Q.3 or Q.4 ,Q.5 or Q.6 and answer Q.7 or Q.8, Q.9 or Q.10, Q.11 or Q.12 from section II. 2) Answer to the two sections should be wirtten in separate books. 3) Neat diagrams must be drawn wherever necessary. 4) Figures to the right indicate full marks. 5) Assume suitable data, if necessary. SECTION - I Q1) The probability of a patient having a particular genetic disease is 0.6. Calculate the pretest odds? If the Likelihood ratio is given as 2.75, calculate the posttest odds? Find the probability of the patient suffering from the genetic disease? Explain any two limitations of Bayes Theorem? [16] OR Q2) a) b) Explain Microarray Spotting Process Flow. [8] Explain the Gene Mapping Process in detail. [8] Q3) a) What is data mining? Mention the various tools used in Data Mining?[8] b) What is Clustering? Explain Hierarchical Clustering. Explain K-means clustering. [8] OR Q4) a) For the given fluorescence data as x[n] in the table below, calculate mean, standard deviation and variance? [8] n x[n] b) c) d) 1 2 3 4 5 6 7 2.2 8.6 3.4 13.3 52.7 1.3 4.8 Explain the concept of True Positives, True Negatives, False Positives and False Negatives? [4] Explain the concept of Sensitivity and Specificity along with the formulae. [2] Explain the concept of Receiver Operating Characteristics? [2] P.T.O.

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