μHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix
Citations
24 citations
Cites methods from "μHEM for identification of differen..."
...This final risk prediction model using μHEM algorithm achieved an accuracy of 0.803 on an independent test set when pre-selecting the top-ranked 330 miRNAs and three clinical features....
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...Paul S, Maji P. muHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix....
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...We also constructed a GBDT risk prediction model using another feature selection algorithm, μHEM [23], publicly available at http://www....
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...We also constructed a GBDT risk prediction model using another feature selection algorithm, μHEM [23], publicly available at http://www.isical.ac.in/~bibl/results/ mihem/mihem.html, and investigated whether this feature selection methodology can further improve the predictive ability of our model....
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...Hyperparameter values in the final GBDT model when using μHEM algorithm....
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23 citations
Cites methods from "μHEM for identification of differen..."
...It has been applied successfully for analyzing omics data [34], [45], [46]....
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12 citations
Cites methods from "μHEM for identification of differen..."
...The f -MRMS algorithm judiciously integrates the merits of maximum relevancemaximum significance (MRMS) criterion (Maji and Paul 2011; Paul and Maji 2013a, b) and f -information measures....
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9 citations
9 citations
Cites methods from "μHEM for identification of differen..."
...It has been applied successfully to feature selection and clustering [27] as well as to omics data analysis [26]–[30]....
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References
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"μHEM for identification of differen..." refers background in this paper
...In GSE21036 data set, miRNA expression profiling has been done to understand the role of miRNAs that are responsible for the genesis and progression of prostate cancer [40]....
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...The number of miRNAs and samples are 373 and 141, respectively [40]....
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2,005 citations
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