Comparison of performance of single species RWR with added noise compared to multi-species RWR.

<p>We conducted a comparison of single species RWR (ss RWR) with up to 30% added edges with our best performing algorithm, which was the multi-species RWR (ms RWR). (a) ss RWR with the addition of 10% edges. ss RWR beat ms RWR in 4 of 13 pathways, which include the following: hsa00040, hsa0023...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Everest U. Castaneda (21553580) (author)
مؤلفون آخرون:	Sharon Moore (6651735) (author), Jason A. Bubier (6685087) (author), Stephen K. Grady (21553583) (author), Michael A. Langston (10392) (author), Elissa J. Chesler (9103778) (author), Erich J. Baker (10920840) (author)
منشور في:	2025
الموضوعات:	Genetics Ecology Cancer Science Policy Infectious Diseases Plant Biology Biological Sciences not elsewhere classified substance use disorder multiple diverse sources major challenge lies heterogeneous network within human gene products discover new gene characterizing human gene gene associations xlink "> restart algorithm random walk model organisms kyoto encyclopedia including information genetic associations enables users direct incorporation dense studies actionable insights
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Comparison of performance of single species RWR with added noise compared to multi-species RWR.

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