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Identify Alzheimer’s disease subtypes and markers from multi-omic data of human brain and blood with a subspace merging algorithm

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.30.651565Source: DataRank Database

Identify Alzheimer’s disease subtypes and markers from multi-omic data of human brain and blood with a subspace merging algorithm is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)

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Authors (6)

Xiaoqing Huang ORCID,Asha Jacob Jannu,Travis S Johnson ORCID,Jie Zhang ORCID,Kun Huang ORCID

Live enrichment

PubMed:40654912 OpenAlex:https://openalex.org/W4410160246

Indiana TREAT-AD Center

Grant: NIH 5U54AG065181

Indiana University Indiana University Precision Health Initiative

Grant: NIH R21AG075541

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/05/07/2025.04.30.651565.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.04.30.651565

repositoryhttps://doi.org/10.1101/2025.04.30.651565

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40654912

Fields of Study

Bioinformatics and Genomic NetworksGene expression and cancer classificationAlzheimer's disease research and treatments

Keywords

Subspace topologyDiseaseHuman brainHuman diseaseHuman bloodComputer scienceComputational biologyBioinformaticsMedicineNeuroscienceArtificial intelligenceBiologyInternal medicinePhysiology