ECEN 333 (2018 Spring): Lecture 14-15 Homework Questions. Please answer the folo
ID: 214775 • Letter: E
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ECEN 333 (2018 Spring): Lecture 14-15 Homework Questions. Please answer the folowing questions. Please check all that apply 1. When speaking about microarrays a probe is (a) a fragment of RNA which is used to detect the presence of nucleotide sequences in a sample (b) one of the two DNA strands in the cell's nucleus (c) an electrode for measuring the electric current (d) none of the above 2. When speaking about microarrays the term "sensitivity" means (a) the ability to distinguish sequences up to a certain homology (b) the ability to absorb photons (c) the lowest target concentration at which an acceptable accuracy is obtained (d) none of the above 3. Microarray data normalization is (a) optional (b) performed before the hybridization of the samples on the microarray (c) one of the steps in the general pipeline for microarray experimentation and analysis (d) none of the above 4. Validation of a microarray study analyses results can be done by (a) performing a real time quantitative PCR on the same samples used in the study (b) performing follow up experiments (c) reproducing the same study in a different laboratory and comparing the outcomes of the analyses (d) all of the above 5. The problem "large number of variables vs small number of samples (a) is avoidable in genomic studies involving the hole human genome (b) is important for the statisticians only (c) is typical for the current high throughput technologies for genomic signals detection (d) none of the above 6. Biomarkers can be useful in: (a) Disease prognosis. (b) Disease classification. (c) Disease diagnosis (d) All of the above. 7. The problem of small sample size and large dimensionality is especially acute in (b) biomarker validation (c) biomarker qualification. (d) none of the above. 8. If the classes are distributed as Gaussian with the same shape (covariance matrix), the optimal classifier is guaranteed to be: (a) quadratic. (b) diagonal (c) linear 9. The training error is the error committed by a classifier on the training data. This error estimator is usualy (a) optimistic (b) unbiased (c) pessimistic. (d) none of the above.Explanation / Answer
1.a) A fragment of RNA which is used to detect the presence of nucleotide sequence in a sample.
2)c) The lowest target concentration at which an acceptable accuracy is obtained.
3)c)) Normalization is performed to remove some variation even after experimental work is done in replicas.one of the step of the general pipeline for microarray experimentation and analysis.
4.a)) Validation of results of microarray analysis can be done by real time PCR.It is done by SYBR green in quantitative PCR.
5)a) Is avoidable for genomic studies where whole body has to be studied.
6)All the statement in this question is correct.Biomarker are used in prognosis,classification and diagnosis of the disease.
7)c)) biomarker qualification
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