Spectral Compute was founded in 2018 by four engineers with about 60 years of combined HPC optimization experience. The ...
Funding mechanisms impact the cost effectiveness of the science conducted, as extramural NIH grants to universities excel at producing papers and citations, while intramural NIH hiring more ...
RapidFort, a leader in software supply chain security with the largest distribution of curated truly open-source software, and ReversingLabs (RL), the trusted name in file and software security, ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
ABSTRACT: Cocoa swollen shoot is a viral disease prevalent mainly in West Africa. It is responsible for significant yield losses. Effective monitoring and accurate detection of this disease are ...
MaldiSuite combines preprocessing, batch effect correction, and deep learning classifiers in a single sklearn-compatible workflow for clinical microbiology and computational biology research. This ...
Citation: Cokelaer et al, (2017), 'Spectrum': Spectral Analysis in Python, Journal of Open Source Software, 2(18), 348, doi:10.21105/joss.00348 The targeted audience ...
Photonova Spectra i is the first in the next generation of spectral photon counting CT systems with 8-bins of energy resolution, powered by GE HealthCare’s proprietary Deep Silicon detector technology ...
Spectral library searching is a key method for compound annotation in mass spectrometry; however, existing libraries often suffer from high data heterogeneity, varying spectral quality, or limited ...
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