In general, the geometric approach based on the criterion matrix has focused on the optimal network design.
Proteomics has placed considerable effort on assuring the quality of the peptide identification with respect to spectral processing (Piening et al., 2006; Rudnick et al., 2010; Schulz-Trieglaff et al., 2009; Stead et al., 2008); however, quality assessment of the subsequent data matrix has focused on subjective visual inspection of run-by-run correlation, or individual peptide components.
To date, studies with silks to address biomaterial and matrix scaffold needs have focused on silkworm silk.
Since the identification of CPS1 as a SIRT5 deacetylation target from mouse mitochondria matrix lysates, most studies have focused on the function of SIRT5 in mitochondria.
Further discussions have focused on matrix-derived metallic impurities, which might affect the labelling efficiency [17].
Moreover, these have focused on matrix deposition rather than on osteoblastic differentiation.
Till now, some researchers have focused on the matrix construction [21, 22].
Most studies on synergistic enhancements by MWCNTs and graphene have focused on polymer matrix composites in which a continuous interconnected network can be achieved by synergistic reinforced mechanism [17 19].
On the basis of the observation that cell alignment in the developing AF precedes ordered matrix deposition, some tissue engineering strategies have focused first on aligning cells, either through the use of microgrooved channels (Johnson et al., 2006) or aligned scaffolds (Mauck et al., 2009).
Many studies have focused on improving cell-matrix interactions.
