Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.

Briefings in bioinformatics - 5 Nov 2021

Xie Linhui, He Bing, Varathan Pradeep, Nho Kwangsik, Risacher Shannon L, Saykin Andrew J, Salama Paul, Yan Jingwen

Abstract excerpt

A large number of genetic variations have been identified to be associated with Alzheimer's disease (AD) and related quantitative traits. However, majority of existing studies focused on single types of omics data, lacking the power of generating a community including multi-omic markers and their functional connections. Because of this, the immense value of multi-omics data on AD has attracted much attention....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer Disease
Share to Databases, Nucleic Acid

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Genomics

Share to Polymorphism, Single Nucleotide

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 33971669
DOI: 10.1093/bib/bbab121
PMCID: PMC8574309

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.PMID 33971669Read ↗

An Integrated Molecular Atlas of Alzheimer’s DiseaseSemantic proximity Read ↗

Identification of functionally connected multi-omic biomarkers for Alzheimer’s Disease using modularity-constrained LassoSemantic proximity Read ↗

Identification of functionally connected multi-omic biomarkers for Alzheimer's disease using modularity-constrained Lasso.Semantic proximity Read ↗

A comprehensive multi-omics analysis reveals unique signatures to predict Alzheimer’s diseaseSemantic proximity Read ↗

Deep trans-omic network fusion reveals altered synaptic network in Alzheimer’s DiseaseSemantic proximity Read ↗

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.Semantic proximity Read ↗

Predicting Alzheimer’s Disease with Multi-Omic Data: A Systematic ReviewSemantic proximity Read ↗

Genetic and Multi-omic Risk Assessment of Alzheimer’s Disease Implicates Core Associated Biological DomainsSemantic proximity Read ↗

Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.Semantic proximity Read ↗

Genetic and multi‐omic risk assessment of Alzheimer's disease implicates core associated biological domainsSemantic proximity Read ↗

Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneitySemantic proximity Read ↗

Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer’s diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.