That is, under some plausible conditions, given a reasonable amount of evidence, the degree to which that evidence comes to support a hypothesis through enumerative induction is very likely to approach 1 for true hypotheses.
We have demonstrated a general approach for estimating true locations from both archival tag data and satellite fixes, accepting either source as raw data.
We present a discriminative machine learning-based approach for detecting true structural variants among indel candidates.
It also offers an alternative approach for increasing true positive rates and decreasing false positive rates.
Another approach for predicting true endpoint from a potential surrogate endpoint is the "meta-analytic" approach [ 13, 14].
This analysis offers an alternate approach for increasing true positive rates, while decreasing false positive rates and hence improving the ChIP-seq peak identification process.
A third approach for predicting true endpoints from a potential surrogate endpoint in a randomized trial is a counterfactual approach based on the potential surrogates that would occur, if contrary to fact, individuals were randomized to a different group [ 15].
We took advantage of this easily identifiable marker that distinguishes reads generated from capped mRNA products to develop a computational approach that selects for true TSS peaks.
The comparative genomics analysis performed using the same methodological approach as applied for true protein-coding genes (see previous section) allows to investigate differences in TE content and distribution.
To present a new approach for estimating the "true prevalence" of malaria and apply it to datasets from Peru, Vietnam, and Cambodia.
