Sentence examples for mining of the dataset from inspiring English sources

The interpretations reveal interesting trends within the data, support further mining of the dataset seeded by highlighted features and allow the user to understand the differences between models built from different descriptors.

Moreover, further mining of the dataset presented here may provide new leads in efforts to map genes that facilitate Treg-mediated suppression.

To perform deep mining of the dataset, we used a computational method to search for base editing in the seed region.

In order to increase the utility of this collection, a significant component of SIGMA is the web-based application which allows for the user-friendly mining of this dataset.

In addition, post hoc mining of the expression dataset showed that another SNP (rs10242920 - ELMO1) association that was consistent with the effect reported in the CGEMS dataset was also actually associated with altered expression in carriers, albeit with less significance (P = 0.005) than originally used for gene and SNP selection.

Further, continued mining of the proteomic dataset coupled with analysis of novel factors in physiologically relevant models will continue to yield fruitful avenues for investigation into the biology of cardiovascular development and pathogenic mechanisms of CHDs in the hope of advancing prevention, diagnosis and treatment.

When the data mining of the CCIH clinical dataset was conducted, any adjuvant chemotherapy regimen that contained both doxorubicin (A) and a taxane (T) (either paclitaxel or docetaxel) was compared with any regimen containing A without T.

We believe that by utilizing a combination of approaches including mining the dataset of transcriptionally altered genes that are specifically related to the pathogenesis of ECM and further investigations in gene knockout mice and immunohistology studies, we have identified three novel host molecules – CD14, galectin-3 and OX40 that may play a critical role in the pathogenesis of ECM.

Classification is a type of supervised learning task where each data instance (also called "an example" in data mining terminology) in the dataset consists of two parts, a set of predictor attributes and a special class attribute.

With regard to data reduction, in our future work, we would like to investigate reducing the high-dimensional data of features gathered from user-cognitive loads, which results from the density of data to be visualized and mined, and reducing the dimensionality of the dataset while associations (or dependencies) between objects as applied to writer identification.

ConTra allows its user to select only single values from each attribute before mining the dataset for the existence of such contradictions.