Strikingly, examining the predicted targets of WT1 shows that these genes occur more frequently than expected by chance in several genomic regions including cytobands 11p15.5 (p = 6.3e-5, 8 new predictions), 1p36.3 (p = 6.3e-4, 3 new predictions), and 4p16.3 (p = 4.3e-3, 5 new predictions) (analysis in DAVID [ 33], see Methods).
In order to perform a subsidence prediction analysis in GIS, there are four steps named as general setting, pre-processing, subsidence calculation and post-processing.
Introduction Machine learning is an emerging technique that enables computers to learn from data without been explicitly programmed [1], in the medical field has been used for classification and prediction analysis in both supervised and supervised fashion [2].
Based on the software Eviews6.0 and groundwater levels of three wells in 1986–2011, the ARIMA 4,1,1), ARIMA 3,1,1) and ARIMA 2,1,1) were established to perform the prediction analysis in the upper, middle and downstream areas, respectively.
We sought to perform a drug-response prediction analysis in a well-controlled system.
Using the 5'seed sequence target prediction analysis in TargetScan 5.1, we analyzed the targets of the 11 putative novel candidates.
MV performed and interpreted protein prediction analysis in silico and helped to draft the manuscript.
To ensure that these articles are identifiable, authors should mention the prediction analysis in the abstract as well.
Additional file 5 (.pdf) depicts Kaplan-Meier analysis of the different clusters detected in Additional file 4. Additional file 6 (.xls) is a table including results from the transcription factor activity prediction analysis in IPA.
Our target prediction analysis in potato and other studies on plant species, especially rice and Arabidopsis, strongly suggest that most of the conserved miRNAs target plant transcription factors (SBP, NAC, ARF, GRAS and AP2) [ 2, 9, 41], thereby emphasizing the role of conserved miRNA in essential biological processes in plants, including potato tuberization.
The overlap of both the in silico prediction analysis (resulting in sORFs with high coding potential) and the ribosome profiling data (suggesting translation) could potentially yield functional micropeptides.
