The reliability and reproducibility of metabolomics data depends on analytical quality. However, even the highest analytical quality obtained using the most sophisticated instruments cannot substitute ...

Mixed-variable problems are inevitable in engineering. However, few researches pay attention to discrete variables. This paper proposed a mixed-variable experimental design method (ODCD): first, the ...

Who has time to wait for a serendipitous discovery to occur? Good science starts with a good question. An unbiased approach to scientific research, like next-generation sequencing (NGS), can answer ...

Genomics has transformed our understanding of the genetic architecture of traits and the genetic variation present in plants. Here, we present a review of how RNA-seq can be performed to tackle ...

When performing 1D and 2D gel electrophoresis within your laboratory, you doubtlessly pay a great deal of attention to your experimental design, sample preparation, and technical execution, likely in ...

To ensure the computational accuracy for the offshore high voltage direct current substation local structure and its large and complex electrical equipment, it is necessary to reduce the modeling ...

True experimental design is a statistical method for determining a cause and effect relationship between various variables. This is one of the most precise types of research designs, providing ...