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Inter-replicate consistency and within-patient similarity a..:

Konstantina Charmpi (9901053) ; Manopriya Chokkalingam (11682093) ; Ronja Johnen (11682096).
https://figshare.com/articles/figure/Inter-replicate_consistency_and_within-patient_similarity_across_network_smoothing_/16991736. , 2021

Link: https://doi.org/10.1371/journal.pcbi.1009161.g004

RT Journal
T1 <Title>Inter-replicate consistency and within-patient similarity across network smoothing</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16991736&Exemplar=1&LAN=DE
				
A1 Konstantina Charmpi (9901053)
A1 Manopriya Chokkalingam (11682093)
A1 Ronja Johnen (11682096)
A1 Andreas Beyer (58396)
YR 2021
K1 Medicine
K1 Genetics
K1 Biotechnology
K1 Cancer
K1 Infectious Diseases
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 specifically altered sub
K1 specific research question
K1 selecting optimal parameters
K1 protein function prediction
K1 optimal parameter settings
K1 analyzing different combinations
K1 prioritizing disease genes
K1 different omics layers
K1 omics data demonstrated
K1 network normalization approaches
K1 optimizing network propagation
K1 network normalization
K1 network propagation
K1 omics datasets
K1 associated genes
K1 given network
K1 real data
K1 propagation methods
K1 different algorithms
K1 work highlights
K1 wide applications
K1 variance tradeoff
K1 systems biology
K1 regularization approach
K1 presents strategies
K1 liver tissues
K1 little guidance
K1 integrate information
K1 inferring condition
K1 incorrect use
K1 identifying ageing
K1 demonstrating schemes
K1 comparative analyses
K1 biological replicates
K1 &# 8216
JF https://figshare.com/articles/figure/Inter-replicate_consistency_and_within-patient_similarity_across_network_smoothing_/16991736
LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1009161.g004
DO https://doi.org/10.1371/journal.pcbi.1009161.g004
SF ELIB - SuUB Bremen

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