Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

In recent years, deep learning has been widely used in diverse fields of research, such as
speech recognition, image classification, autonomous driving and natural language …

With the evolution of biotechnology and the introduction of the high throughput sequencing,
researchers have the ability to produce and analyze vast amounts of genomics data. Since …

Advancements in genomic research such as high-throughput sequencing techniques have
driven modern genomic studies into" big data" disciplines. This data explosion is constantly …

The data explosion driven by advancements in genomic research, such as high-throughput
sequencing techniques, is constantly challenging conventional methods used in genomics …

Extracting inherent valuable knowledge from omics big data remains as a daunting problem
in bioinformatics and computational biology. Deep learning, as an emerging branch from …

In the era of big data, transformation of biomedical big data into valuable knowledge has
been one of the most important challenges in bioinformatics. Deep learning has advanced …

With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

The fields of medicine science and health informatics have made great progress recently
and have led to in-depth analytics that is demanded by generation, collection and …

Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …