We collected a unique pair of microRNA sequencing data sets for the same set of tumor samples; one data set was collected with and the other without uniform handling and balanced design. The former ...

Fall is in the air, as we settle into familiar routines – school and swim practices resuming, sweaters and apple or pumpkin flavoured sweets everywhere, and beginning to set our goals for the season ...

Demand for more and better data for test is driving a major standards effort, paving the way for one of most significant changes in data formats in years. There is good reason for this shift. Data ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

The train-validate-test process is hard to sum up in a few words, but trust me that you'll want to know how it's done to avoid the issue of model overfitting when making predictions on new data. The ...