From phenotype to gene: Detecting disease‐specific gene functional modules via a text‐based human disease phenotype network construction is a research paper published in FEBS Letters (2010). On theSindex it has a DataRank of 1.1. It has been cited 23 times, with 20 citing works in its 1-hop citation network.
Currently, some efforts have been devoted to the text analysis of disease phenotype data, and their results indicated that similar disease phenotypes arise from functionally related genes. These related genes work together, as a functional module, to perform a desired cellular function. We constructed a text‐based human disease phenotype network and detected 82 disease‐specific gene functional modules, each corresponding to a different phenotype cluster, by means of graph‐based clustering and mapping from disease phenotype to gene. Since genes in such gene functional modules are functionally related and cause clinically similar diseases, they may share common genetic origin of their associated disease phenotypes. We believe the investigation may facilitate the ultimate understanding of the common pathophysiologic basis of associated diseases.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.477
From this paper's citation signal
Citation Network Contribution
0.671
From 16 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 42% comes from its base citations and 58% from the citation network (16 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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