Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of
an individual and, when present, his or her disease. It has a host of targets, including genes …

Supervised neural networks have been applied as a machine learning technique to identify
and predict emergent patterns among multiple variables. A common criticism of these …

Organisms adapted to physiochemical stressors provide ideal systems to study evolutionary
mechanisms that drive adaptation and speciation. This review study focuses on livebearing …

We argue and demonstrate empirically that a firm's institutional and legal context has first‐
order effects in tests that use state antitakeover laws for identification. A priori, the size and …

Hypotheses and theories are essential constituents of the scientific method. Many
vaccinologists are unaware that the problems they try to solve are mostly inverse problems …

The expression levels of SLC or ABC membrane transporter transcripts typically differ 100-to
10,000-fold between different tissues. The Gini coefficient characterizes such inequalities …

After documenting the existence and exploring some implications of three alternative news
narratives about science and its challenges, this essay outlines ways in which those who …

Neurophysiological features like event-related potentials (ERPs) have long been used to
identify different cognitive sub-processes that may contribute to task performance. It has …

Due to tumor heterogeneity, most believe that effective treatments should be tailored to the
features of an individual tumor or tumor subclass. It is still unclear, however, what …

Integration of multiomics data remains a key challenge in fulfilling the potential of
comprehensive systems biology. Multiple-block orthogonal projections to latent structures …