This paper describes a collection of signal processing methods and a toolbox for extracting and analyzing vibrato-related parameters from solo audio recordings.
Poster “Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq data: Application to Melanoma Pseudogenes” was presented at the Big Data in Biomedicine Conference at Stanford University.
This report reviews highlights from a two-day meeting involving the BD2K CFPWG to provide insights on trends and considerations in advancing Big Data science for biomedical research in the United States.
With the rise of digital biomarkers, its role in precision medicine has become an important area of interest . . .
In what sense is a city smart? There are established entities defining this rich area of cross-disciplinary studies, and they refer to social, technical, economic, and . . .
The results of our analysis show that by the time infants reach 4 months of age both mothers and infants time their smiles in a purposeful, goal-oriented manner . . .
Cancer: The role of ‘non-coding’ genes Transcriptomic profiling of head and neck tumors suggests a prominent role for non-protein-coding genes in carcinogenesis.
CCS Postdoctoral Researcher Mohamed Sordo has launched Musikipedia.org, a powerful web application for analyzing and streaming music. Musikipedia stands at the forefront of music analysis . . .
BRAF protein kinase is a crucial player in melanoma, as it belongs to the highly oncogenic RAS/RAF/MEK/ERK signaling pathway . . .
This project focuses on improving housing opportunities for residents of low- to moderate-income Miami neighborhoods . . .
This paper studies a subclass of finite dynamical systems the synchronous BFDS where the states are Boolean and the state update takes place in discrete time and at the same on all objects.
Extracted relations are evaluated intrinsically by assessing their linguistic quality, as well as extrinsically by assessing the extent to which they map an existing music knowledge base.
Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large.