Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer
<p>Excel file with regulon edges and ChIP-seq enrichment scores for TraRe, GRNboost2 and ARACNE-AP</p>
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2025
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| _version_ | 1849927638377824256 |
|---|---|
| author | Charles Blatti (15292859) |
| author2 | Jesús de la Fuente (15292862) Huanyao Gao (14962434) Irene Marín-Goñi (15292865) Zikun Chen (15292868) Sihai D. Zhao (15292871) Winston Tan (15035292) Richard Weinshilboum (15292874) Krishna R. Kalari (15099627) Liewei Wang (14962464) Mikel Hernaez (15292877) |
| author2_role | author author author author author author author author author author |
| author_facet | Charles Blatti (15292859) Jesús de la Fuente (15292862) Huanyao Gao (14962434) Irene Marín-Goñi (15292865) Zikun Chen (15292868) Sihai D. Zhao (15292871) Winston Tan (15035292) Richard Weinshilboum (15292874) Krishna R. Kalari (15099627) Liewei Wang (14962464) Mikel Hernaez (15292877) |
| author_role | author |
| dc.creator.none.fl_str_mv | Charles Blatti (15292859) Jesús de la Fuente (15292862) Huanyao Gao (14962434) Irene Marín-Goñi (15292865) Zikun Chen (15292868) Sihai D. Zhao (15292871) Winston Tan (15035292) Richard Weinshilboum (15292874) Krishna R. Kalari (15099627) Liewei Wang (14962464) Mikel Hernaez (15292877) |
| dc.date.none.fl_str_mv | 2025-11-24T23:07:32Z |
| dc.identifier.none.fl_str_mv | 10.1158/0008-5472.30700656 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Supplementary_File_4_from_Bayesian_Machine_Learning_Enables_Identification_of_Transcriptional_Network_Disruptions_Associated_with_Drug-Resistant_Prostate_Cancer/30700656 |
| dc.rights.none.fl_str_mv | CC BY info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cancer Molecular and Cellular Biology Therapeutic Research and Development Methods and Technology Computational Methods Artificial intelligence & machine learning Drug Resistance Novel mechanisms Regulation of gene expression in drug resistance Gene Regulation Genitourinary Cancers Prostate cancer Systems Biology |
| dc.title.none.fl_str_mv | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Excel file with regulon edges and ChIP-seq enrichment scores for TraRe, GRNboost2 and ARACNE-AP</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_de9e0566685187bc40b7648d404011f0 |
| identifier_str_mv | 10.1158/0008-5472.30700656 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30700656 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY |
| spelling | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate CancerCharles Blatti (15292859)Jesús de la Fuente (15292862)Huanyao Gao (14962434)Irene Marín-Goñi (15292865)Zikun Chen (15292868)Sihai D. Zhao (15292871)Winston Tan (15035292)Richard Weinshilboum (15292874)Krishna R. Kalari (15099627)Liewei Wang (14962464)Mikel Hernaez (15292877)CancerMolecular and Cellular BiologyTherapeutic Research and DevelopmentMethods and TechnologyComputational MethodsArtificial intelligence & machine learningDrug ResistanceNovel mechanismsRegulation of gene expression in drug resistanceGene RegulationGenitourinary CancersProstate cancerSystems Biology<p>Excel file with regulon edges and ChIP-seq enrichment scores for TraRe, GRNboost2 and ARACNE-AP</p>2025-11-24T23:07:32ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1158/0008-5472.30700656https://figshare.com/articles/dataset/Supplementary_File_4_from_Bayesian_Machine_Learning_Enables_Identification_of_Transcriptional_Network_Disruptions_Associated_with_Drug-Resistant_Prostate_Cancer/30700656CC BYinfo:eu-repo/semantics/openAccessoai:figshare.com:article/307006562025-11-24T23:07:32Z |
| spellingShingle | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer Charles Blatti (15292859) Cancer Molecular and Cellular Biology Therapeutic Research and Development Methods and Technology Computational Methods Artificial intelligence & machine learning Drug Resistance Novel mechanisms Regulation of gene expression in drug resistance Gene Regulation Genitourinary Cancers Prostate cancer Systems Biology |
| status_str | publishedVersion |
| title | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| title_full | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| title_fullStr | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| title_full_unstemmed | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| title_short | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| title_sort | Supplementary File 4 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer |
| topic | Cancer Molecular and Cellular Biology Therapeutic Research and Development Methods and Technology Computational Methods Artificial intelligence & machine learning Drug Resistance Novel mechanisms Regulation of gene expression in drug resistance Gene Regulation Genitourinary Cancers Prostate cancer Systems Biology |