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Apart from estimating the posterior probability or statistical hypothesis testing, another method to UV is using predictors such as: (1) acoustic stability, (2) hypothesis density, (3) duration information, .
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Finally, we calculated the area under the curve for a number of commonly used predictors, such as FEV1 % predicted, age, dyspnoea and body mass index, and their combinations.
In general dyssynchrony indices may provide better identification of CRT response or major cardiac events compared to other commonly used predictors such as LVEF and QRS duration [ 2, 3, 5, 6].
Secondary-structure predictions were performed using several predictors such as GOR, NetSurfP, PSIPRED, and PORTER.
First, secondary structures are predicted using classical predictors such as RNAfold, RNAstructure or unafold.
Recently, selection for milk technological traits was initiated in the Italian dairy cattle industry based on direct measures of milk coagulation properties (MCP) such as rennet coagulation time (RCT) and curd firmness 30 min after rennet addition (a30) and on some traditional milk quality traits that are used as predictors, such as somatic cell score (SCS) and casein percentage (CAS).
For example, Kumaran and Carvalho [24] apply learning to rank framework in reducing long queries using query quality predictors, such as Query Clarity [13] and Query Scope [19].
Third, since the purpose of the study was to explore the accuracy of PSP/ reg compared with that of other commonly used or studied predictors (such as pro-inflammatory cytokines) in a homogenous population of patients with a definite diagnosis of sepsis at the time of ICU admission and not between populations of septic and non-septic patients, patients without sepsis were not included.
When several structural hypotheses should be compared prior to applying DFT methods it is worth validating competing structures using more generic NMR predictors such as those discussed in this work.
A search using, for example, 20 identified predictors such as gender and prior record, may be implemented with several hundred indicator variables.
For all three datasets, confidence metrics were generated using only statistical and topological predictors, such as the number of interaction partners and a local clustering coefficient.
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