Article

Module analysis using single-patient differential expression signatures improve the power of association study for Alzheimer’s disease

2020-01-06

Abstract excerpt

The causal mechanism of Alzheimer’s disease is extremely complex. It usually requires a huge number of samples to achieve a good statistical power in association studies. In this work, we illustrated a different strategy to identify AD risk genes by clustering AD patients into modules based on their single-patient differential expression signatures. Evaluation suggested that our method could enrich AD patients wit...

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Literature Corpus work: d01c3878-e610-59c6-9204-c57fa0e2351f
DOI: 10.1101/2020.01.05.894931

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Module analysis using single-patient differential expression signatures improve the power of association study for Alzheimer’s diseaseDOI 10.1101/2020.01.05.894931Read

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