Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
This gene was observed as up-regulated in the microarray dataset however, as consistency checks have indicated that it is down-regulated in all repair sets, it is highly likely that gene expression measurement may be inaccurate and further scrutiny can be planned for verification.
Our analysis predicts 86% (31/36) of the connections as significant based on the microarray dataset; however, four are considered inhibitory interactions instead of activations, suggesting possible feedback loops between Pax6 and Ngn1, between Satb2, Ngn2 and Nhlh1, as well as between NeuroD and Etv1 (Additional file 6).
Similar(58)
However, microarray dataset suffers from the curse of dimensionality, the limited number of samples, and the irrelevant and noise genes, all of which make the classification task for a given sample more challenging [ 1, 5, 6].
However, the microarray dataset is much smaller in terms of genes and especially of number of experimental points.
However, we did carefully compare our data with an existing microarray dataset (e.g., Kornmann et al., 2006).
However, given the paucity of CL tumors represented in our microarray dataset, this hypothesis warrants further investigation in larger sample populations.
However, the detection scores were not provided for the current microarray dataset and hence we applied a filter to exclude the microarray probes based on their expression levels as described below.
However, the one hundred biclusters found by MOSFLB algorithm cover 40.8% cells of microarray dataset (51.2% of the genes and 100% of the conditions).
We used these models to analyze a diabetes microarray dataset.
Classify microarray dataset using SVM.
We also analyzed a real experimentally derived microarray dataset.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com