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Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking

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Bibliographic Details
Published in:Journal of Proteins and Proteomics
Format: Online Article RSS Article
Published: 2025
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container_title Journal of Proteins and Proteomics
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:16324
institution FRELIP
journal_source_facet Journal of Proteins and Proteomics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
Organic Chemistry
Natural Sciences — Physical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Physical Sciences
sub_discipline_facet Natural Sciences — Physical Sciences
subject_display Organic Chemistry
Natural Sciences — Physical Sciences
Natural Sciences
Organic Chemistry
Natural Sciences — Physical Sciences
Natural Sciences
subject_facet Organic Chemistry
Natural Sciences — Physical Sciences
Natural Sciences
title Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_auth Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_full Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_fullStr Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_full_unstemmed Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_short Identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
title_sort identification of differentially expressed genes and drug targets in prostate cancer using next-generation sequencing analysis and docking
topic Organic Chemistry
Natural Sciences — Physical Sciences
Natural Sciences
url https://link.springer.com/article/10.1007/s42485-025-00197-5