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

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

<p>We conducted a comparison of multi-species RWR (ms RWR) with up to 30% added edges with our best performing algorithm, which was the single species RWR (ss RWR). (a) ms RWR with the addition of 10% edged. ms RWR beat ss RWR in 10 of 13 pathways, which include the following: hsa00140, hsa005...

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Bibliographic Details
Main Author: Everest U. Castaneda (21553580) (author)
Other Authors: 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)
Published: 2025
Subjects:
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
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restart algorithm
random walk
model organisms
kyoto encyclopedia
including information
genetic associations
enables users
direct incorporation
dense studies
actionable insights
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