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 ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

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 ...

⚠️ Dataset Size Limitation: This homodyne analysis package is not recommended for large datasets exceeding 4M data points due to over-subsampling effects and reduced performance without adequate ...

Abstract: Canonical correlation analysis (CCA) is a widely used multivariate analysis technique for explaining the relation between two sets of variables. It achieves this goal by finding linear ...

Modern enterprises generate oceans of logs that span on-prem, cloud, IoT, and OT. Think identity, device, data, network, and application events. Logs are the backbone of visibility, but logs alone do ...

The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Electroencephalogram (EEG) analysis has shown significant research value for brain disease diagnosis, neuromodulation and brain-computer interface (BCI) application. The analysis and processing of EEG ...

Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and ...