Deciphering lysosomal autophagy-linked differential gene signatures in Alzheimer’s disease: Multicohort bioinformatics analysis leveraging Gene Expression Omnibus datasets

ying Peng

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DOI: 10.21203/rs.3.rs-9778769/v1
Published: 2026-06-30
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9778769/v1,
  title = {Deciphering lysosomal autophagy-linked differential gene signatures in Alzheimer’s disease: Multicohort bioinformatics analysis leveraging Gene Expression Omnibus datasets},
  author = {ying Peng},
  year = {2026},
  doi = {10.21203/rs.3.rs-9778769/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9778769/v1}
}

RIS

TY  - JOUR
TI  - Deciphering lysosomal autophagy-linked differential gene signatures in Alzheimer’s disease: Multicohort bioinformatics analysis leveraging Gene Expression Omnibus datasets
AU  - ying Peng
PY  - 2026
DO  - 10.21203/rs.3.rs-9778769/v1
UR  - https://doi.org/10.21203/rs.3.rs-9778769/v1
ER  -

APA

Peng, Y. (2026). Deciphering lysosomal autophagy-linked differential gene signatures in Alzheimer’s disease: Multicohort bioinformatics analysis leveraging Gene Expression Omnibus datasets. https://doi.org/10.21203/rs.3.rs-9778769/v1

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crossref · retrieved 2026-09-27T08:13:44.284Z