Your English writing platform
Discover LudwigExact(1)
Based on our previous work [ 15, 16], among those 326 TFs, 270 TFs with amino acid sequence were classified into four classes according to their structures and domains [see Additional file 2 and Additional file 3. Detailed information of TF-TFBS datasets was summarized in Table 1. Given a TF, verified DNA targets were used as positive instances.
Similar(59)
The details of the datasets are summarized in Table 3.
Information about both datasets are summarized in Table 6.
The details of test datasets are summarized in Table 1.
Some basic statistics of the two datasets are summarized in Table 1.
Both complete datasets are summarized in Additional file 1: Tables S2, S3.
The results for all three datasets are summarized in terms of the Area Under ROC Curve (AUC) and are reported in Table 4.
The values of the precision, recall and -score indices obtained by the considered algorithms over the 7 datasets are summarized in Table 2. Table 2 Performance obtained by the algorithms on the databases.
The results with these parameters' settings for these datasets are summarized in Table 2 which shows that DTCTH works well in most of the cases when n=8 neighbors at radius r=2 is considered with HI kernel.
We use the community meta-data for creating different node classes, and all these datasets are publicly available from the website.2 The details of the datasets are summarized as follows: karate: The Karate club network is a well-known network of friendships between 34 members in an American University [35].
Details of the two microarray datasets are summarized in Supplementary Table S1.
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