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Identifying Combinatorial Significance for Classification of Alzheimer’s Disease Proteomics Expression with Logical Analysis of Data | IEEE Conference Publication | IEEE Xplore

Identifying Combinatorial Significance for Classification of Alzheimer’s Disease Proteomics Expression with Logical Analysis of Data


Abstract:

In this paper, we develop clinical Alzheimer’s Disease pattern as a combination of protein expression quantity using logical analysis of data on ROSMAP brain samples [1]....Show More

Abstract:

In this paper, we develop clinical Alzheimer’s Disease pattern as a combination of protein expression quantity using logical analysis of data on ROSMAP brain samples [1]. As a result, 14 transcripts are selected as support markers and compose interpretable patterns. These patterns show far statistical significance than any individual transcripts. In addition, patterns also indicate novel combinations of transcripts that have a little relation on the STRING network. Our result demonstrates a possible novel approach on analyzing interconnected transcripts, expecting a full pathology of the Alzheimer’s Disease.
Date of Conference: 09-12 December 2021
Date Added to IEEE Xplore: 14 January 2022
ISBN Information:
Conference Location: Houston, TX, USA

References

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