Related Experiment Video
Updated: Jul 4, 2025

07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
9.0K
An open-source platform for pediatric cancer data exploration: a report from Data for the Common Good
Kirk D Wyatt1,2, Luca Graglia2, Brian Furner2
1Department of Pediatric Hematology/Oncology, Roger Maris Cancer Center, Sanford Health, Fargo, ND 58102, United States.
JAMIA Open
|February 2, 2024
Summary
The Pediatric Cancer Data Commons (PCDC) enhanced its Gen3 platform with custom features for better data sharing. These open-source tools improve authorization, filtering, and analysis for pediatric oncology data commons.
Area of Science:
- Pediatric Oncology
- Bioinformatics
- Data Science
Background:
- The Pediatric Cancer Data Commons (PCDC) houses crucial clinical pediatric oncology data.
- Utilizing the open-source Gen3 platform is key for data management and sharing.
Related Concept Videos
Mouse Models of Cancer Study
5.5K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K
Statistical Software for Data Analysis and Clinical Trials
554
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
554

