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Section 2 presents recent research about SRIO and mapping methods of radar algorithms on multi-processor systems, including a brief description of our previous work with SRIO.
The three learning techniques of ANN, GLM and SVM were used to develop predictive models for the same dataset of 2431 siRNAs across the 5 feature mapping methods of 1) Position Specific Base Composition (PSBC), 2) Thermodynamics (THER), 3) N-Grams of length 2 through 5 (NG25), 4) Guide Strand Structural Features (GSSF) and 5) Guide Strand Secondary Structure (GSSS).
QTLs were detected by interval and composite interval mapping methods of Windows QTL Cartographer v.2.5 software.
Partially-mapped reads map to the reference sequence differently for gains and losses, as described for paired-end mapping methods of CNV detection [ 4].
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This paper aims to obtain an appropriate kinematics mapping method of coupled Cartesian-joint space for space teleoperation.
The contribution of this paper is to suggest the practical SW and HW mapping method of space-based SAR processor using range-Doppler algorithm (RDA).
Therefore, the large sample theory presented in this article possesses general applicability to the interval mapping method of GTL in genetic research.
It shows the mapping method of users in resource blocks (RBs), where the element 1 denotes signals of the user are transmitted in the corresponding RB, while the element 0 means the opposite.
First, we apply the multivariate QTL mapping method of Knott and Haley (2000).
We consider either the multivariate QTL mapping method of Knott and Haley (2000), or use the SLOD or MLOD scores, as in Kwak et al. (2014).
We next employed quantitative nanomechanical mapping method of atomic force microscopy (AFM Thomass et al., 2013) to determine changes in mechanical properties associated with reduced fibroblast spreading.
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