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UNIT 6: Sorting:Introduction, Sort methods like: Bubble Sort, Quick sort. Selection sort,Heap sort, Insertion sort, Shell sort, Merge sort and Radix sort; comparison of various sorting techniques. Searching: Basic Search Techniques: Sequentialsearch, Binary search, Comparison of search methods. Hashing & Indexing. CaseStudy: Application of various data structures in operating system, DBMS etc.
We performed the above analysis for the participant, who had supplied the genomic DNA, using the same steps as described above. The same data as obtained from the participant were analyzed by the same group of researchers. The results are shown in the figure below. The total number of SNPs identified by both sets of researchers in the dataset of the participant were 4303. Some SNPs were identified in both datasets. The fraction of overlapping SNPs was close to the expected value of the allele frequencies in the population. The average GERP score was calculated to be 1.88 out of 2.0 for the overlapping SNPs. The results of the participant, showed that the random forests could not identify the SNPs correctly based on only four features of the sequences. However, as the number of features was increased, the analysis could correctly identify the SNPs. The feature importance score from the RandomForest classifier is shown in Additional File 1.
We performed the above analysis for the participant, who had supplied the genomic DNA, using the same steps as described above. The results are shown in the figure below. The total number of SNPs identified by both sets of researchers in the dataset of the participant were 4303. Some SNPs were identified in both datasets. The fraction of overlapping SNPs was close to the expected value of the allele frequencies in the population. The average GERP score was calculated to be 1.88 out of 2.0 for the overlapping SNPs. The results of the participant, showed that the random forests could not identify the SNPs correctly based on only four features of the sequences. However, as the number of features was increased, the analysis could correctly identify the SNPs. The feature importance score from the RandomForest classifier is shown in Additional File 1.
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