Sentence examples for by multiple data types from inspiring English sources

Exact(1)

This was cumbersome, slow and often resulted in the same error being highlighted by multiple data types, which would become evident only when a curator was working on a subsequent evidence list and found the gene already corrected.

Similar(59)

On the other hand, given that a cancer gene could be selectively inactivated or activated by multiple alterations, an integrative study design performed by combining multiple data types can potentially be helpful to achieve the threshold for statistical significance for studies involving fewer or rare clinical specimen.

By including multiple data types, we have greater potential for understanding how various types of PD impact the learning and practice of TAs.

This network was constructed by integrating multiple data types including genetic studies and expression data from human and mouse liver and adipose tissue (Chen et al, 2008; Emilsson et al, 2008).

Results show (1) uncertainty in the estimation of Sgr can be reduced by jointly using multiple data types and repeated tests; and (2) geological uncertainty is essential and needs to be accounted for in the estimation of Sgr and its uncertainty.

> -wrap-foot> In this article, we develop iRafNet, a unified framework based on random forest which constructs GRNs by integrating information from multiple data types.

The PED system comprises of tools capable of querying data content either by using simple queries based on an individual premise such as gene expression, or by combining information across multiple data types such as conducting a query addressing both gene expression and copy number data.

Hence, integration of multiple data types is performed by mapping each probe to a gene.

The actual data can be across multiple data types or instances and can even be retrieved by traversing relationships.

We present a probabilistic approach for integrating multiple data types into subsurface flow models.

Collocated cokriging is a common technique in geostatistics to account for multiple data types.

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