Other methods, such as neural network approach or methods based on regression modeling, have also been used in the past [14, 15, 16].
Researchers more concerned with practical advances than biologically plausible modeling have also explored the possibility of hybridizing the symbolic and subsymbolic approaches, in order to gain the advantages of both (e.g., Sun 2001).
Other proteins that are thought to partially play a role in membrane component modeling have also been characterized.
Next-generation sequencing and mathematical modeling have also provided unprecedented insight into the longitudinal sequence by which mutations are acquired as cancer cells clonally evolve (Fig. 1B).
Positive and negative effects of role modeling have also been described for doctoral students in the physical sciences (Paglis et al., 2006) and across all disciplines (Austin, 2002; see discussion below, "Data Highlight Discipline-Specific Influences on Career Choice").
Ecological (collective-level) analyses using multilevel modeling have also linked high social capital, defined by high trust and membership in voluntary associations, with reduced mortality at state and neighbourhood levels in the United States [ 33, 34].
