Upon inspecting the dataset, we discovered that the ICP variable is not correlated with other attributes in the TBI dataset.
For the 1000 bp dataset, we discovered 394 motifs, which include all of the 326 motifs discovered in the 600 bp dataset.
They used GO category and MeSH term to analyze the microarray dataset and discovered that those changed genes were related with cell death, apoptosis, oxidative stress, inflammation, and neurotransmitters in the brain.
The significant variations in functional connectivity were mapped to a scalp map, as illustrated in Figs. 3 and 4. From our dataset, we discovered an increase in connectivity, especially in the higher frequency bands, when subjects listened to unfamiliar songs.
On the glioma dataset, GGEA discovered throughout specific and disease-related pathways.
(The motif reported for the c-fos promoter dataset was discovered second, after having discarded the poly-A repeat region).
For the 400 bp dataset, we discovered 288 motifs (prior to clustering), of which 286 are present in the 326 motifs discovered in the 600 bp dataset.
The free form of the comment allows almost total flexibility to the size of the post: from single word (or even just a single emoticon or exclamation mark) to texts comprising of tens of thousands of words (in one of our datasets we discovered a comment of almost 150,000 characters length).
Incidentally, consistent overexpression of all three human P-DUDES genes in two public glioblastoma microarray gene expression datasets was discovered.
By using the MEME-CHIP Suite [ 23], a tool designed to identify enriched sequence elements in large datasets, we discovered that an extended E-box motif, CA(G/T)(C/A TG(G/T), was significantly associated with NEUROD2 peak sequences (Fig. 2a).
