Your English writing platform
Discover LudwigSuggestions(4)
Exact(1)
This is accomplished by randomly removing one sample at a time from the test dataset of ALL samples and "training" a predictor gene profile to recognize similarities or disparities between the two classes based on the expression profiles of the samples for the genes of interest [ 11].
Similar(59)
The influences of a particular study on the summary effects were explored by calculating the combined HRs after randomly removing one included study.
When 3' UTRs contained more than one motif copy, we randomly removed one of the copies.
To eliminate any clustering in the sample, we randomly removed one sibling from each pair.
If N is odd, we randomly remove one policy vector from the new generation.
We then randomly removed one transcript variant (a transcript differing in splice structure to all other transcripts), which had a non-zero Cufflinks quantification value.
Then for the validation set, we randomly remove one test t * from each patient p j, and store the t * in the validation label set.
We then created additional three PFMs for each alignment by randomly removing (without replacement) one-third of the sequences from the motif alignment.
The alternate forms were generated by randomly removing some exons (exon skipping), or by randomly leaving exons off one or both ends of the transcript (truncation), or by randomly altering the start or end splice site of individual exons (mostly by multiples of three as is typically observed in real data).
To do so one may use sampled networks by randomly removing nodes or edges.
For the second requirement, we again computationally modified the sequencing coverage by randomly removing a fraction of reads, and determined the number of unique barcodes using the remaining reads for each index and template (Figs 2c and S2c, gray lines).
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