pcbi.1009849.s011.pdf (76.3 kB)
Download fileImputation performance of the Network method upon randomization in the hESC differentiation dataset.
journal contribution
posted on 2022-02-17, 18:50 authored by Ana Carolina Leote, Xiaohui Wu, Andreas BeyerDropout imputation was performed using the network described here (blue), a partially randomized network (light blue) and a fully randomized network (grey).
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available via bioconductorspecific transcriptional regulatorsmean expression acrossgene relationship informationlowly expressed genesgenes equally benefitpackage called adimputemeasurable expression variationdiv >< pcell rna sequencingbest imputation methodexploit external genedifferent imputation methodsdifferent genesspecific featuresexpression levelsexpression levelcell variationbest predictedgiven genebased imputationgenes couldwork representstypically unablethus implementedparadigm shiftincluding cellfindings suggestexclusively usecomputational predictionautomatically determinesart methodsadequately imputed
