Sentence examples for mining and bioinformatics from inspiring English sources

Large-scale data mining and bioinformatics analysis are indispensable in this field.

The need for such algorithms stems from a number of applications, such as Web mining and bioinformatics.

Recently, genome-wide molecular measurements, data mining and bioinformatics approaches have provided the means to explore human diseases from a molecular basis.

Therefore, disease stratification must be based on information derived from an expanded personal health record for the patient, along with the use of advanced technology, and comprehensive clinic testing followed by the development and application of sophisticated data mining and bioinformatics analysis [4].

We decided to use a symbolic representation for value and time range discrete aggregation in order to enable the application of machine learning algorithms from the fields of text mining and bioinformatics such as text indexing, Markov models, decision trees, suffix trees, grammar inference, etc., afterwards.

He obtained a Ph.D. in Computer Science from the University of Essex, UK, in 1997, doing research on data mining; and an MPhil in Biological Sciences from the University of Liverpool, UK, in 2011, doing research on the biology of ageing with data mining and bioinformatics methods.

Over the past decades, research in ML yielded effective theoretical models, which proved successful in several applications such as computer vision [26], data mining [27], and bioinformatics [28].

KJL carried out data mining, phylogenetics and bioinformatics analyses, participated in the conception, design and coordination of the study, and drafted the manuscript.

Meantime, various powerful data mining and statistical bioinformatics methods have been propagated for identifying, prioritizing and classifying robust and generalizable biomarkers with high discriminatory ability [4], and some online bioinformatics data libraries, such as Enzyme, KEGG, Gene Ontology, NCBI Taxonomy, SwissProt and TrEMBL were generated for the store and management of data.

JB, BR and RS performed the genome data mining and other bioinformatics sequence analyses.

This supplement represents the majority of accepted papers, spanning sequence, genome and transcriptome analyses; networks, pathways and systems biology; disease informatics; data and text mining; and structural bioinformatics.