Construction of PD risk predicting model and evaluation indices.
<p>(A) Construction of the nomogram of the PD disease risk prognosis model on the basis of the three biomarkers. (B) ROC curve of the model. (C) The calibration curve evaluating the predictive accuracy of the model. (D) Clinical impact curve evaluating the model’s clinical performance.</p&g...
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2025
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| _version_ | 1852019960045371392 |
|---|---|
| author | Yatan Li (21439415) |
| author2 | Wei Jia (136607) Chen Chen (6544) Cheng Chen (136164) Jinchao Chen (2852384) Xinling Yang (420177) Pei Liu (93392) |
| author2_role | author author author author author author |
| author_facet | Yatan Li (21439415) Wei Jia (136607) Chen Chen (6544) Cheng Chen (136164) Jinchao Chen (2852384) Xinling Yang (420177) Pei Liu (93392) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yatan Li (21439415) Wei Jia (136607) Chen Chen (6544) Cheng Chen (136164) Jinchao Chen (2852384) Xinling Yang (420177) Pei Liu (93392) |
| dc.date.none.fl_str_mv | 2025-05-28T17:32:04Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0320257.g007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Construction_of_PD_risk_predicting_model_and_evaluation_indices_/29171438 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Biology Immunology Biological Sciences not elsewhere classified random forest algorithms potential therapeutic targets possible regulatory nodes parkinson &# 8217 experimental results showed debilitating neurodegenerative disorder drug sensitivity analysis cell transcriptomic analysis mirna network construction biomarker genes related screen biomarker genes mirna network biomarker genes three biomarkers signaling pathways seventeen co roc curves ppi networks new biomarkers machine learning inhibitory neurons inflammatory response excitatory neurons cytokine activity |
| dc.title.none.fl_str_mv | Construction of PD risk predicting model and evaluation indices. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(A) Construction of the nomogram of the PD disease risk prognosis model on the basis of the three biomarkers. (B) ROC curve of the model. (C) The calibration curve evaluating the predictive accuracy of the model. (D) Clinical impact curve evaluating the model’s clinical performance.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_0555aeb0f3a74c6571fa6d6db054f2f7 |
| identifier_str_mv | 10.1371/journal.pone.0320257.g007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29171438 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Construction of PD risk predicting model and evaluation indices.Yatan Li (21439415)Wei Jia (136607)Chen Chen (6544)Cheng Chen (136164)Jinchao Chen (2852384)Xinling Yang (420177)Pei Liu (93392)Cell BiologyImmunologyBiological Sciences not elsewhere classifiedrandom forest algorithmspotential therapeutic targetspossible regulatory nodesparkinson &# 8217experimental results showeddebilitating neurodegenerative disorderdrug sensitivity analysiscell transcriptomic analysismirna network constructionbiomarker genes relatedscreen biomarker genesmirna networkbiomarker genesthree biomarkerssignaling pathwaysseventeen coroc curvesppi networksnew biomarkersmachine learninginhibitory neuronsinflammatory responseexcitatory neuronscytokine activity<p>(A) Construction of the nomogram of the PD disease risk prognosis model on the basis of the three biomarkers. (B) ROC curve of the model. (C) The calibration curve evaluating the predictive accuracy of the model. (D) Clinical impact curve evaluating the model’s clinical performance.</p>2025-05-28T17:32:04ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0320257.g007https://figshare.com/articles/figure/Construction_of_PD_risk_predicting_model_and_evaluation_indices_/29171438CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291714382025-05-28T17:32:04Z |
| spellingShingle | Construction of PD risk predicting model and evaluation indices. Yatan Li (21439415) Cell Biology Immunology Biological Sciences not elsewhere classified random forest algorithms potential therapeutic targets possible regulatory nodes parkinson &# 8217 experimental results showed debilitating neurodegenerative disorder drug sensitivity analysis cell transcriptomic analysis mirna network construction biomarker genes related screen biomarker genes mirna network biomarker genes three biomarkers signaling pathways seventeen co roc curves ppi networks new biomarkers machine learning inhibitory neurons inflammatory response excitatory neurons cytokine activity |
| status_str | publishedVersion |
| title | Construction of PD risk predicting model and evaluation indices. |
| title_full | Construction of PD risk predicting model and evaluation indices. |
| title_fullStr | Construction of PD risk predicting model and evaluation indices. |
| title_full_unstemmed | Construction of PD risk predicting model and evaluation indices. |
| title_short | Construction of PD risk predicting model and evaluation indices. |
| title_sort | Construction of PD risk predicting model and evaluation indices. |
| topic | Cell Biology Immunology Biological Sciences not elsewhere classified random forest algorithms potential therapeutic targets possible regulatory nodes parkinson &# 8217 experimental results showed debilitating neurodegenerative disorder drug sensitivity analysis cell transcriptomic analysis mirna network construction biomarker genes related screen biomarker genes mirna network biomarker genes three biomarkers signaling pathways seventeen co roc curves ppi networks new biomarkers machine learning inhibitory neurons inflammatory response excitatory neurons cytokine activity |