Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
At Genospace, we recognize that the evolution of precision medicine is being propelled by advancements in genomics, yet the challenge of effectively scaling its implementation remains unresolved. Our mission is to bridge this gap. Our innovative platform aims to transform biomedical data into valuable insights that are easily accessible for all, particularly for those actively involved in delivering care. Equip your clinicians and researchers with essential information that empowers them to make well-informed choices while participating in our goal of utilizing intricate molecular data to enhance patient outcomes and speed up the processes of drug development and research. In this context, the significance of large-scale population data for drug discovery and research cannot be overstated. Utilize cohort-driven analyses through the Genospace platform to support your research initiatives. We have a strong focus on clinical trial research, enabling the Genospace platform to seamlessly align fragmented patient information with intricate trial requirements, thus facilitating quicker patient recruitment. Furthermore, our platform is designed to integrate genomic medicine into standard clinical care practices, making it easier than ever to harness the power of genomics in everyday healthcare. Together, we can push the boundaries of what’s possible in patient care and research.
Description
By leveraging visual analytics through TIBCO Spotfire®, PerkinElmer Signals Translational offers a comprehensive suite of tools designed to harmonize, manage, search, aggregate, and analyze extensive datasets consistently for translational research, all while ensuring scalability. This platform, driven by TIBCO Spotfire®, supports precision medicine initiatives by providing an unparalleled solution for biomarker discovery and patient stratification. The Linear Mixed Effect App (LME) within Signals Translational empowers researchers to evaluate the influence of various factors on specific phenotypes, allowing for adjustments related to random variables during analysis. Furthermore, it enables the identification of genes significantly affecting cancer stage progression, irrespective of patient origins. Notably, the LME models excel at addressing issues such as missing values and outliers, making them a robust choice for discovering potential biomarkers. Consequently, the integration of these advanced analytics tools enhances the efficacy of translational research in identifying key biomarkers that can lead to more personalized treatment approaches.
API Access
Has API
No
API Access
Has API
No
Integrations
Signals Research Suite
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Genospace
Country
United States
Website
www.genospace.com
Vendor Details
Company Name
PerkinElmer
Founded
1937
Country
United States
Website
perkinelmerinformatics.com/products/clinical-translational/signals-translational/