Sentence examples for internal datasets from inspiring English sources

Through an integrated analysis of literature data and internal datasets incorporating both cell line models and human tumors, we identified a RAS pathway signature consisting of 147 genes that is coherently expressed across multiple datasets.

In addition, the SysPro ontology is being expanded to include concepts from GO and PRO to enable linking of genotype and protein data from external sources with CPB internal datasets.

After above steps, internal dataset which including 6554 bio-active data with corresponding protein targets (5 major nuclear receptor) and compounds were selected for Proteochemometric modeling.

This means that upon querying an external dataset with an instance ((X_{i} = (x_{mathrm{int},1},ldots,x_{mathrm{int},m}))), we get a new set of features (((x_{mathrm{ext},1'},ldots,x_{mathrm{ext},m'}))), which are added to the feature-space of the internal dataset, resulting in the instance (X_{i} = (x_{mathrm{int},1},ldots,x_{mathrm{int},m},x_{mathrm{ext},1'}, ldots,x_{mathrm{ext},m'})).

Since no external validation dataset is currently available, model performance was assessed using the internal dataset in two approaches.

In relation to the modelling approach adopted it is important to highlight that model performance was validated using the internal dataset only.

Although a major concern in the validation of a microarray-based prediction model is model transferability i.e. the usefulness of a transferred model outside of its intended use, it is also desirable that the signature developed from the internal dataset is applicable to predict future samples.

The algorithm detected 3,533 and 5,382 tDMRs in the peripheral and internal tissue datasets, respectively (Table  1 and Additional file 5: Table S2).

Second, we have focused on estimating and using predictions within the derivation dataset, but our approaches can also be extended to estimating and using predictions in an internal validation dataset (a different sample from the derivation dataset but within the same study population) or an external validation dataset (a sample independent of the derivation dataset (Moons et al., 2012a)).

The prediction models were also validated among 144 participants (32 participants from the internal validation dataset and 112 from the external validation dataset) with undiagnosed diabetes.

Overall, 47.9% of tDMRs detected in the peripheral tissue dataset and 49.8% of the tDMRs detected in the internal organ dataset mapped to an alternative transcription event.