Multiple linear regression for reconstruction of gene regulatory networks in solving cascade error problems
Gene regulatory network (GRN) reconstruction is the process of identifying regulatory gene interactions from experimental data through computational analysis. One of the main reasons for the reduced performance of previous GRN methods had been inaccurate prediction of cascade motifs. Cascade error i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2018
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