A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer ...

There is growing concern about the reliability of biomedical research results. Poor experimental design, inappropriate analysis methods and incomplete reporting have all contributed to inconsistent ...

The landscape of gene editing applications is expanding quickly. More and more, researchers are faced with choosing the right tools and protocols for genome engineering, including overexpressing ...

Design of Experiments (DOE) are a powerful concept in semiconductor engineering research and development. DOEs are sets of experiments used to explore the sensitivity of experimental variables and ...

In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group ...

Artificial intelligence is rapidly changing jobs and industries, causing no small amount of consternation as it does. But on the bright side, it has the potential to greatly aid economists by ...

Experimental Design (or Why Rats Are Not People, Among Other Things) By Andrew Karam, Ph.D., CHP — Aug 10, 2021 ...

The Joint Actinide Shock Physics Experimental Research (JASPER) facility recently surpassed 200 full-containment experimental ...