High-throughput DNA sequencing has proven invaluable for investigating diverse
environmental and host-associated microbial communities. In this Review, we discuss …

Rapid technological advances have led to the production of different types of biological data
and enabled construction of complex networks with various types of interactions between …

The genetic circuits that allow cancer cells to evade destruction by the host immune system
remain poorly understood,–. Here, to identify a phenotypically robust core set of genes and …

Tissue and cell-type identity lie at the core of human physiology and disease. Understanding
the genetic underpinnings of complex tissues and individual cell lineages is crucial for …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

This book addresses some theoretical aspects of semisupervised learning (SSL). The book
is organized as a collection of different contributions of authors who are experts on this topic …

Cellular senescence—the permanent arrest of cycling in normally proliferating cells such as
fibroblasts—contributes both to age‐related loss of mammalian tissue homeostasis and acts …

Identification of complex molecular networks underlying common human phenotypes is a
major challenge of modern genetics. In this study, we develop a method for network-based …

To determine whether genes retain ancestral functions over a billion years of evolution and
to identify principles of deep evolutionary divergence, we replaced 414 essential yeast …

Network “guilt by association”(GBA) is a proven approach for identifying novel disease
genes based on the observation that similar mutational phenotypes arise from functionally …