Exact(5)
We have conducted a set of comprehensive experiments with three types of datasets including synthetic datasets, TPC-H benchmark datasets and a real-world dataset.
Three types of datasets were used in this study.
We tested our distance function on three types of datasets: viruses, prokaryotes, and unicellular eukaryotes.
Here we present three types of datasets consisting of miRNA profiles for 13 HB patients with different tumour types and molecular variations.
Then, after determining gene pairs with significant positive or negative correlation in gene expression in each of the three types of datasets, we map those gene pairs to the STRING network [ 16], a large-scale gene functional association network, and then construct a lung cancer-specific functional association network.
Similar(55)
Three types of dataset were recorded in our experiments.
From all of these parameters, key features were selected using the three types of dataset characterization described in the Construction and prediction models section.
The authors analyzed two types of datasets.
We consider two types of datasets.
Two types of datasets were prepared.
Mainly two types of datasets are required in sequence alignment applications.
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