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Data Quality
Data quality describes how well a set of data serves the purpose it represents. Data quality is measured by considering a series of characteristics including accuracy, validity, and consistency. The completeness and uniqueness of the data is also considered when assessing data quality.
JUN 03, 2020 | 4:00 PM
Multiplex immunofluorescence IHC is a powerful technique to address the increasing research needs in immuno-oncology to better understand the tumor microenvironment. In this webinar, we will...
JUN 03, 2020 | 7:00 AM
Dr. Koenitzer will present an overview of her current research in immune suppression. After a brief introduction to the MILLIPLEX® multiplex immunoassay portfolio, Dr. Koenitzer will dis...
JUN 02, 2020 | 9:00 AM
DATE: June 2, 2020 TIME: 9:00am PT, 12:00pm ET Osmolality is a well-established parameter for upstream bioprocessing, formulation, analytical development and QC applications throughout the m...
MAY 20, 2020 | 12:00 AM
We describe a mass spectrometry (MS) analytical platform resulting from the novel integration of acoustic droplet ejection (ADE) technology, an open-port interface (OPI), and electrospray io...
MAY 20, 2020 | 12:00 AM
The amount of data that is produced each day is mind boggling. Over 2.5 quintillion bytes of data are created every single day, and this number continues to grow every single day. This year...
MAY 14, 2020 | 11:00 AM
Concerns about the quality of published animal research include inefficient or flawed study design, inappropriate statistical analysis and incomplete reporting. The ARRIVE guidelines were de...
MAY 14, 2020 | 4:40 PM
Comprehensive genomic profiling of myeloid and, increasingly more, lymphoid malignancies is becoming an essential part of clinical diagnostics to improve diagnosis, assist therapeutic decisi...
MAY 14, 2020 | 4:40 PM
Comprehensive genomic profiling of myeloid and, increasingly more, lymphoid malignancies is becoming an essential part of clinical diagnostics to improve diagnosis, assist therapeutic decisi...
