In a clinic, the following procedure is applied: A biological sample obtained from the patient is an- alyzed for its metabolites and a diagnosis is made based on the test results. In each sample, from a total of T metabolites, N metabolites with the highest levels are selected and investigated. M of the T metabolites are known disease biomarkers; at high levels these are associated with a particular disease. a. Find the probability distribution of X: the number of biomarkers observed in a test. (Hint: This is one of the common distributions. You may want to scan a catalog of common discrete distribu- tions“.) b. What is the expected number of observed biomarkers, as a function of N, in a test if T = М— 20? 1000, c. What is the probability of observing at least 25 disease biomarkers in a test, if T M = 40? You can try to do this manually, or you may find it easier to use the relevant distribution functions in scipy.stats. 1000, N = 100, %3D

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In a clinic, the following procedure is applied: A biological sample obtained from the patient is an-
alyzed for its metabolites and a diagnosis is made based on the test results. In each sample, from a
total of T metabolites, N metabolites with the highest levels are selected and investigated. M of the T
metabolites are known disease biomarkers; at high levels these are associated with a particular disease.
a. Find the probability distribution of X: the number of biomarkers observed in a test. (Hint: This
is one of the common distributions. You may want to scan a catalog of common discrete distribu-
tions“.)
1000,
b. What is the expected number of observed biomarkers, as a function of N, in a test if T
М — 20?
c. What is the probability of observing at least 25 disease biomarkers in a test, if T = 1000, N = 100,
M = 40? You can try to do this manually, or you may find it easier to use the relevant distribution
functions in scipy.stats.
Transcribed Image Text:In a clinic, the following procedure is applied: A biological sample obtained from the patient is an- alyzed for its metabolites and a diagnosis is made based on the test results. In each sample, from a total of T metabolites, N metabolites with the highest levels are selected and investigated. M of the T metabolites are known disease biomarkers; at high levels these are associated with a particular disease. a. Find the probability distribution of X: the number of biomarkers observed in a test. (Hint: This is one of the common distributions. You may want to scan a catalog of common discrete distribu- tions“.) 1000, b. What is the expected number of observed biomarkers, as a function of N, in a test if T М — 20? c. What is the probability of observing at least 25 disease biomarkers in a test, if T = 1000, N = 100, M = 40? You can try to do this manually, or you may find it easier to use the relevant distribution functions in scipy.stats.
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