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R Source Code for Fusarium DS 682 Fungal Isolate Proteogenomics Statistical Analysis

Fusarium sp. DS682 Proteogenomics Statistical Data Analysis of SFA dataset download: 10.25584/KSOmicsFspDS682/1766303 . GitHub Repository Source: https://github.com/lmbramer/Fusarium-sp.-DS-682-Proteogenomics MaxQuant Export Files (txt) Trelliscope Boxplots (jsonp) Fusarium Report (.Rmd, html)...

Microbiome Science
Computational Mathematics & Statistics
Project
TEDDY AI/ML Ready Datasets and Models

The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...

Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    1
Project
DAISY AI/ML Ready Datasets and Models

The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...

Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    1
Project
AI/ML Ready Datasets for Type 1 Diabetes

Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...

Scientific Discovery
Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    3