The immune infiltration characteristics between the high and the low CRG risk subgroups.

<p><b>(A)</b> shows the KEGG terms identified in the CRG score subgroups using the GSVA algorithm. <b>(B)</b> Immune cell infiltration landscape in the CRGs score subgroups. <b>(C)</b> The potential relationship between CRG score and immune cells.</p>

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Main Author: Lin Feng (84785) (author)
Other Authors: Jiabo Yuan (20569452) (author), Xiaobing Dou (482847) (author), Yanlin Liu (398738) (author)
Published: 2025
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_version_ 1852018034689966080
author Lin Feng (84785)
author2 Jiabo Yuan (20569452)
Xiaobing Dou (482847)
Yanlin Liu (398738)
author2_role author
author
author
author_facet Lin Feng (84785)
Jiabo Yuan (20569452)
Xiaobing Dou (482847)
Yanlin Liu (398738)
author_role author
dc.creator.none.fl_str_mv Lin Feng (84785)
Jiabo Yuan (20569452)
Xiaobing Dou (482847)
Yanlin Liu (398738)
dc.date.none.fl_str_mv 2025-07-31T17:26:34Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0328250.g007
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/The_immune_infiltration_characteristics_between_the_high_and_the_low_CRG_risk_subgroups_/29728696
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Medicine
Cell Biology
Genetics
Molecular Biology
Biotechnology
Developmental Biology
Cancer
Hematology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
validate prognostic features
sup >+</ sup
provide potential targets
independent prognostic factors
idiopathic pulmonary fibrosis
div >< p
cell related genes
multivariate analysis coefficients
molecular typing characteristics
molecular characteristic
infiltration characteristics
comprehensive analysis
vitro </
predicting prognosis
mrna levels
expression profiles
experiments verified
evidence showing
clinical symptoms
clinical prognosis
also analyzed
abnormal expressions
dc.title.none.fl_str_mv The immune infiltration characteristics between the high and the low CRG risk subgroups.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p><b>(A)</b> shows the KEGG terms identified in the CRG score subgroups using the GSVA algorithm. <b>(B)</b> Immune cell infiltration landscape in the CRGs score subgroups. <b>(C)</b> The potential relationship between CRG score and immune cells.</p>
eu_rights_str_mv openAccess
id Manara_2a0f2333a3656255f8a4ccdff8246f4e
identifier_str_mv 10.1371/journal.pone.0328250.g007
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/29728696
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling The immune infiltration characteristics between the high and the low CRG risk subgroups.Lin Feng (84785)Jiabo Yuan (20569452)Xiaobing Dou (482847)Yanlin Liu (398738)MedicineCell BiologyGeneticsMolecular BiologyBiotechnologyDevelopmental BiologyCancerHematologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedvalidate prognostic featuressup >+</ supprovide potential targetsindependent prognostic factorsidiopathic pulmonary fibrosisdiv >< pcell related genesmultivariate analysis coefficientsmolecular typing characteristicsmolecular characteristicinfiltration characteristicscomprehensive analysisvitro </predicting prognosismrna levelsexpression profilesexperiments verifiedevidence showingclinical symptomsclinical prognosisalso analyzedabnormal expressions<p><b>(A)</b> shows the KEGG terms identified in the CRG score subgroups using the GSVA algorithm. <b>(B)</b> Immune cell infiltration landscape in the CRGs score subgroups. <b>(C)</b> The potential relationship between CRG score and immune cells.</p>2025-07-31T17:26:34ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0328250.g007https://figshare.com/articles/figure/The_immune_infiltration_characteristics_between_the_high_and_the_low_CRG_risk_subgroups_/29728696CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/297286962025-07-31T17:26:34Z
spellingShingle The immune infiltration characteristics between the high and the low CRG risk subgroups.
Lin Feng (84785)
Medicine
Cell Biology
Genetics
Molecular Biology
Biotechnology
Developmental Biology
Cancer
Hematology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
validate prognostic features
sup >+</ sup
provide potential targets
independent prognostic factors
idiopathic pulmonary fibrosis
div >< p
cell related genes
multivariate analysis coefficients
molecular typing characteristics
molecular characteristic
infiltration characteristics
comprehensive analysis
vitro </
predicting prognosis
mrna levels
expression profiles
experiments verified
evidence showing
clinical symptoms
clinical prognosis
also analyzed
abnormal expressions
status_str publishedVersion
title The immune infiltration characteristics between the high and the low CRG risk subgroups.
title_full The immune infiltration characteristics between the high and the low CRG risk subgroups.
title_fullStr The immune infiltration characteristics between the high and the low CRG risk subgroups.
title_full_unstemmed The immune infiltration characteristics between the high and the low CRG risk subgroups.
title_short The immune infiltration characteristics between the high and the low CRG risk subgroups.
title_sort The immune infiltration characteristics between the high and the low CRG risk subgroups.
topic Medicine
Cell Biology
Genetics
Molecular Biology
Biotechnology
Developmental Biology
Cancer
Hematology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
validate prognostic features
sup >+</ sup
provide potential targets
independent prognostic factors
idiopathic pulmonary fibrosis
div >< p
cell related genes
multivariate analysis coefficients
molecular typing characteristics
molecular characteristic
infiltration characteristics
comprehensive analysis
vitro </
predicting prognosis
mrna levels
expression profiles
experiments verified
evidence showing
clinical symptoms
clinical prognosis
also analyzed
abnormal expressions