MDL - MPRSTR
View samplesAn MDL file represents a model definition or machine learning output used for predictive analysis. It contains parameters, trained weights, or configuration metadata describing a computational model. Each file typically summarizes results from training on multiple datasets (many→1). Typical file types: .mdl, .json, .h5
Attributes
| Name | Type | Description | PID  | Unit |
|---|---|---|---|---|
| UID* | Text | Not specified | - | - |
| File_PrimaryData | Text | Not specified | - | - |
| Link_PrimaryData | URI | Not specified | - | - |
| Scientist | Text | Not specified | - | - |
| Type | Text | Not specified | - | - |
| TrainingDatasets | URI | Not specified | - | - |
| ValidationDatasets | Text | Not specified | - | - |
| Protocol | URI | Not specified | - | - |
Tags
Not specified Creators and Submitter
Views: 484 Downloads: 38
Created: 9th Oct 2024 at 18:48
Last updated: 27th May 2026 at 19:26
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Projects: MIT SRP, Hi-IMPAcTB, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC), Shoulders Lab, NExtSEEK Independent Projects
Web page: https://nextseek.mit.edu/
About
This project houses all the publicly available datasets generated by the Hi-IMPAcTB consortium over the course of its 7+ years.
What is Hi-IMPAcTB?
Hi-IMPAcTB is an ambitious endeavor bringing together a team of international, interdisciplinary researchers to improve our understanding of host-pathogen interactions in the context of tuberculosis (TB). Funded by a multi-center contract from the NIH, the long-term goal of the consortium is to enable principled vaccine design by improving ...
Programme: NExtSEEK
Public web page: https://grantome.com/grant/NIH/75N93019C00071-0-9999-1
