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Article

Incomplete time-series gene expression in integrative study for islet autoimmunity prediction.

Briefings in bioinformatics - 19 Jan 2023

Tanvir Ahmed Khandakar, Cheng Sze, Li Qian, Yong Jeongsik, Zhang Wei

Abstract excerpt

Type 1 diabetes (T1D) outcome prediction plays a vital role in identifying novel risk factors, ensuring early patient care and designing cohort studies. TEDDY is a longitudinal cohort study that collects a vast amount of multi-omics and clinical data from its participants to explore the progression and markers of T1D. However, missing data in the omics profiles make the outcome prediction a difficult task. TEDDY...

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Share to Autoimmunity
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 36513375
DOI: 10.1093/bib/bbac537
PMCID: PMC9851333

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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