Let Your Data
Tell The Story.
AutoDiscovery is an intelligent exploratory data analysis software that unveils complex relationships hidden in the data files of your scientific experiments and clinical studies.
For Researchers. By Researchers.
Real Success Case >>
Dr. Trejo is responsible for the Laboratory of Adult Neurogenesis.
The work of the group focuses on both basic and therapeutic aspects of the formation of new neurons in the adult brain.
What Is Exploratory Data Analysis?
Exploratory Data Analysis (EDA) aims at connecting ideas as to unveil the “why”s of potential cause/effect relationships.
For researchers and data scientists like you, the use of EDA for initial exploratory studies is crucial in the early stages of an experiment. More detailed analysis would follow from initial discoveries of interesting and significant parameter correlations within complex high-dimensional data.
Why AutoDiscovery In Your Lab?
Design efficient experiments from the beginning >>
Use AutoDiscovery to help you to identify the most promising "hot spots" and predictors in your data.
Then decide which equipments and resources best suits your data needs.
Monitor your progresses every day >>
Consolidate the data gathered day by day and validate the fulfillment of your a-priori hypothesis.
Sharpen the results of AutoDiscovery with a deeper statistical analysis to make your best decisions.
Reinforce your conclusions at the end >>
Explore the most relevant relationships in accordance to your conclusions by means of the interactive Discovery Map.
Export the graphical and numerical reports to boost your paper!