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.