Table 3.xls (5.5 kB)

Model-level performance on the real dataset.

dataset

posted on 2021-10-11, 17:37 authored by Yao-zhong Zhang, Seiya Imoto, Satoru Miyano, Rui Yamaguchi

5-fold cross-validations were performed on NA12878 and HG002 using a screening window length of 400 bp. The average result of 5-repeat runs is reported to reduce the effect of the randomness of GPU training.

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Enhancing breakpoint resolution with deep segmentation model: A general refinement method for read-depth based structural variant callers

PLOS Computational Biology

Keywords

integrate model predictions identifying structural variants general refinement method deep segmentation model enhancing breakpoint resolution based sv callers based sv caller nucleotide resolution due div >< p nucleotide resolution based calculation source code small amount precise breakpoints learn base frequently used freely available enhance breakpoints determine breakpoints

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