These results confirm the effectiveness of the repeated run of analysis in identifying distinct, small-sized sets of genes, uniquely regulated by specific sets of sporadic trans-factors.
In combination with the presented etalon data set it is powerful to examine even small sized sample sets of west Eurasian origin.
In this article, we are interested in binary cosegmentation and observe that for most applications of binary cosegmentation several criteria should be followed: (1) automation, i.e., it is executed without user interactions; (2) scalability, i.e., it can be applied to hundreds of images instead of two images or small sized image sets; (3) focusing on "object" instead of "stuff".
With small sized data sets (10 – 20 loci), incorrectly reconstructed gene trees interfere substantially with correct species tree reconstruction.
The strengths of the classification model proposed in this study are: a) small sized support-set, b) small number of patterns, c) interpretability and d) high accuracy on validation.
At this rate, more than 10 days would be required by SOrt-ITEMS for binning even a small sized data set (500,000 reads each of length approximately 250 bp).
However, few small sized hemidesmosomes with low electron density of cytoplasmic plaque were observed.
We further present dnet, a public source-code module that incorporates this improvement, enabling fast and efficient computation of small-sized hitting sets in practice.
Taking alpha-fetoprotein (AFP) as an example, the sensitivity is approximately 70% in diagnosis of HCC but it becomes lower in the setting of surveillance for small sized tumor (Chan et al., 2014).
Thus, the number and frequency of small sized stage pT1/T2 breast tumors detected is steadily increasing.
Considering that the small sized ontologies described do reflect a real provider specification (in general, an NSP has only a small set of CoSs), the time response of the reasoner proves viable the use of ontologies to help negotiation process.
