We have developed a method for fabricating DNA microarrays that uses a Bubble Jet ink jet device to eject 5′-terminal-thiolated oligonucleotides to a glass surface. The oligonucleotides are ...

The baseline information of the 394 study participants included in the lectin microarray analysis is summarised in tables 1 and 2. Among the patients with SLE, 93.8% (182/194) were women, with an ...

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 ...

Using Python, six domination degree-based topological indices from the ϕd -polynomial are computed. Regression analysis, including curvilinear and multilinear models, identified correlations between ...

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 (PA) is a powerful method for data analysis in genomics, most often applied to gene expression analysis, but little used to analyze variants such as Single Nucleotide Polymorphisms ...

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 for Examining and Visualizing Weather Patterns in Tehran. Utilizes Historical Weather Data to Provide Insights Into Trends, Temperature Variations, and Other ...

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 ...