M.LMM - LD
View samplesA linear mixed model file contains statistical outputs from models that include both fixed and random effects. It represents results used to analyze complex datasets with repeated measures or hierarchical structure. Each file typically summarizes modeled results from multiple input datasets (many→1). Typical file types: .rds, .csv, .txt
Attributes
| Name | Type | Description | PID  | Unit |
|---|---|---|---|---|
| UID* | Text | Not specified | - | - |
| File_PrimaryData | Text | Not specified | - | - |
| Link_PrimaryData | URI | Not specified | - | - |
| Scientist | Text | Not specified | - | - |
| Parent | Text | Not specified | - | - |
| Type | Text | Not specified | - | - |
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Not specified Creators and Submitter
Views: 335 Downloads: 9
Created: 19th Dec 2023 at 19:38
Last updated: 27th May 2026 at 20:12
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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
