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To visualize all syntenic breakpoint intervals, chromosome ideograms were drawn up such that all breakpoints were arranged equidistantly, with the precise positions of the breakpoint intervals being demarcated by the genomic coordinates of the flanking genes (an exemplar is shown in Figure 1 for HSA1, whilst all ideograms from chromosomes 1 to 22 are depicted in Additional file 1).
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The number of training exemplars is shown on the abscissa.
These precursor homologs are listed in Additional file 2. The secondary hairpin structures of precursor exemplars are shown in Additional file 3. Putative targets for these novel miRNA candidates were predicted using psRNATarget, http://bioinfo3.noble.org/psRNATarget[ 60, 61], using the DFCI barley gene indices (http://compbio.dfci.harvard.edu/tgi/, Release 10.0) as a reference set.
A summary of exemplar indicators is shown in table 3. The basis of the exemplar choice from the truth and feasibility aspects of the evidence is shown (discrimination was not found to be empirically supported).
In a statistical control, we found that an untrained VisNet performed at 18%% correct when measured with the pattern association network compared with the 73%% correct after training with 9 exemplars that is shown in Fig. 7.
An exemplar likelihood map is shown in Fig. 1.
The difference between default and modified fpocket parameters for an exemplar protein structure is shown in Fig. 2a, b, respectively.
The inpainting result by the exemplar-based method is shown in Fig. 2b.
A spectrogram of one exemplar from each vocalization pool is shown in Figure 5.
This paper is organized as follows: the proposed hybrid between HMMSS and exemplar-based VC using NMF is shown in Section 2.
It is shown that the model can learn categories by developing prototype representations strictly from exposition to specific exemplars.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com