We review the current applications of artificial intelligence (AI) in functional genomics. The
recent explosion of AI follows the remarkable achievements made possible by “deep …

Extrapolating systematically from gene sequence to function is undoubtedly the major
challenge facing industry and academia alike as we approach the end of the millennium …

The twin goals of artificial intelligence research are to understand the computational
mechanisms underlying human-like thought and behavior, and to design and synthesize …

The bestselling introduction to bioinformatics and genomics–now in its third edition Widely
received in its previous editions, Bioinformatics and Functional Genomics offers the most …

The amount of data produced by molecular biologists is growing at an exponential rate.
Some of the fastest growing sets of data are measurements of gene expression, comparable …

Hieter and Boguski describe the new era of functional genomics that is being entered as the
mapping and sequencing (structural genomics) phase of the Human Genome Project draws …

Despite efforts to integrate research across different subdisciplines of biology, the scale of
integration remains limited. We hypothesize that future generations of Artificial Intelligence …

Machine Learning is defined as a computer science discipline where algorithms iteratively
learn from observations to return insights from data without the need for programming …

The Human Genome Project, completed in 2003 by an international consortium, is
considered one of the most important achievements for mankind in the 21st century [1]. With …

Sequence-Evolution-Function is an introduction to the computational approaches that play a
critical role in the emerging new branch of biology known as functional genomics. The book …