Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms
that allow computers to learn solving a (complex) problem from existing data. This ability can …

It is still not possible to predict whether a given molecule will have a perceived odor or what
olfactory percept it will produce. We therefore organized the crowd-sourced DREAM …

… K of leads required; then find the top K leads in P. (In computer science, an ‘oracle’ is a
machine, the workings of which are unexplained, which always returns the correct answer to a …

Aberrant activation of the Janus kinase (JAK)/signal transducer and activator of transcription
(STAT) 3 has been implicated in cell proliferation and survival of many cancers including …

Purpose: In other cancer types, HPV infection has been reported to coincide with overexpression
of HER2 (ERBB2) and HER3 (ERBB3); however, the association between HER2 or …

… concrete instantiations), we can finally define the NSPDK as:(7) K ( G , G ′ ) = ∑ r ∑ d κ r ,
… of K obtained by imposing an upper bound on the radius and the distance parameter: K r ⁎ , …

In the latter part of the nineteenth century, there was a flourishing of confidence women in
the United States. They were born of the contradiction between the restrictive role of the" true …

… We begin with a naive de novo formulation of the MIH problem, where the input is a collection
… We cannot guarantee that reads aligned to c k [ i : j ] originate from the same genome m in …

Nanofiltration (NF) and reverse osmosis (RO) membranes have a high potential to remove
low molecular weight trace contaminants in water that cannot be removed efficiently by …

With the current expanded technical capabilities to perform mass spectrometry-based biomedical
proteomics experiments, an improved focus on the design of experiments is crucial. As …