German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

We first fabricated eight-by-eight spot microarrays that contained the same 18-mer oligonucleotide probe in each spot to examine the efficacy of our method for microarray fabrication.

Objectives Research on the specific role of immunoglobulin G (IgG) glycosylation in SLE development and progression is limited, especially regarding changes in IgG glycosylation profiles among ...

Multiplexed detection of viral nucleic acids is important for rapid screening of viral infection. In this study, we present a molybdenum disulfide (MoS2) nanosheet-modified dendrimer droplet ...

Analysis-of-variance models for microarray data were introduced by Kerr et al. 17, and this framework has been extended to account for correlations and multiple sources of variance 18, 19.

The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that prioritizes ...

Pathway Analysis for SNP microarray data Pathway Analysis (PA) is a powerful method for data analysis in genomics, most often applied to gene expression analysis, but little used to analyze variants ...

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.

A Python-based Data Analysis Tool Designed to Evaluate Stock Momentum. Leverages Historical Market Data to Identify Trends, Predict Price Movements, and Assist in Making Informed Investment Decisions.

Automation is the key approach for genomewide and proteomewide screening of function and interaction. Especially for proteomics, antibody microarrays are a useful tool for massive parallel profiling ...