Abstract: In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix factorization (NMF), spectral ...

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Medicinal Chemistry, Research ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

This R data package provides raw microarray data from three independent lymphoma-related experiments. The data was generated using the Illumina HumanHT-12 microarray platform and comprises primary ...

A repository of RNA-seq & microarray pipelines, network modeling, and ML-based biomarker validation projects from my 2nd–3rd year undergrad.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Reported Data Supports the Potential Extension of HD-MAP Vaccine Delivery to Oncology Indications Recently published data generated by researchers at The University of Queensland and Vaxxas shows ...

A recent survey of 6,000 consumers revealed something intriguing: while only around 33% of people think they use AI, a remarkable 77% are, in fact, using AI-powered services or devices in their daily ...