نتائج البحث

Predicting essential proteins by integrating orthology, gene expressions, and PPI networks.

• Authors : Zhang X; School of Medicine, Tufts University, Boston, MA, United States of America.; Xiao W

Subjects: Computational Biology* ; Gene Expression Profiling* ; Protein Interaction Mapping*

• Source: PloS one [PLoS One] 2018 Apr 10; Vol. 13 (4), pp. e0195410. Date of Electronic Publication: 2018 Apr 10 (Print Publication: 2018).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.

• Authors : Xu Y; Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China.; Zhou J

Subjects: Gene Expression Profiling* ; Molecular Sequence Annotation* ; Protein Interaction Mapping*

• Source: BMC systems biology [BMC Syst Biol] 2017 Dec 21; Vol. 11 (Suppl 7), pp. 135. Date of Electronic Publication: 2017 Dec 21.Publisher: BioMed Central Country of Publication: England NLM ID: 101301827 Publication Model: Electronic Cited Medium: Internet ISSN: 1752-0509

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PTHGRN: unraveling post-translational hierarchical gene regulatory networks using PPI, ChIP-seq and gene expression data.

• Authors : Guan D; Department of Biology, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.; Shao J

Subjects: Chromatin Immunoprecipitation* ; Gene Expression Profiling* ; Gene Regulatory Networks*

• Source: Nucleic acids research [Nucleic Acids Res] 2014 Jul; Vol. 42 (Web Server issue), pp. W130-6. Date of Electronic Publication: 2014 May 29.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Identifying dynamic protein complexes based on gene expression profiles and PPI networks.

• Authors : Li M; School of Information Science and Engineering, Central South University, Changsha 410083, China.; Chen W

Subjects: Algorithms* ; Software*; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/*methods

• Source: BioMed research international [Biomed Res Int] 2014; Vol. 2014, pp. 375262. Date of Electronic Publication: 2014 May 18.Publisher: Hindawi Pub. Co Country of Publication: United States NLM ID: 101600173 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A novel essential protein identification method based on PPI networks and gene expression data.

• Authors : Zhong, Jiancheng^1,2 (AUTHOR); Tang, Chao¹ (AUTHOR); Peng, Wei³ (AUTHOR)

• Source: BMC Bioinformatics. 5/13/2021, p1-21. 21p.

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Detecting complexes from edge-weighted PPI networks via genes expression analysis

• Authors : Jian Song; Fei Guo; Xinying Xu

Subjects: 0301 basic medicine; Computer science; Systems biology

• Source: BMC Systems BiologyBMC Systems Biology, Vol 12, Iss S4, Pp 29-40 (2018)

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Comparative Transcriptomic Analyses for the Optimization of Thawing Regimes during Conventional Cryopreservation of Mature and Immature Human Testicular Tissue.

• Authors : Pei C; Department of Obstetrics and Gynecology, Medical Faculty, Cologne University, 50931 Cologne, Germany.; Todorov P

Subjects: Gene Expression Profiling* ; Transcriptome*; Humans

• Source: International journal of molecular sciences [Int J Mol Sci] 2023 Dec 22; Vol. 25 (1). Date of Electronic Publication: 2023 Dec 22.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067

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Protein-protein interaction networks (PPI) and complex diseases.

• Authors : Safari-Alighiarloo, Nahid¹; Taghizadeh, Mohammad²; Rezaei-Tavirani, Mostafa¹

• Source: Gastroenterology & Hepatology from Bed to Bench. Winter2014, Vol. 7 Issue 1, p17-31. 15p. 1 Chart.

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Screening of hub genes for sepsis-induced myopathy by weighted gene co-expression network analysis and protein-protein interaction network construction.

• Authors : Wang, Jianhao¹ (AUTHOR); Han, Kun¹ (AUTHOR); Lu, Jinshuai² (AUTHOR)

• Source: BMC Musculoskeletal Disorders. 10/22/2024, Vol. 25 Issue 1, p1-15. 15p.

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Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI.

• Authors : Liu C; College of Life Science, Northeast Forestry University, Harbin, 150040, China.; College of Computer and Control Engineering, Northeast Forestry University, Harbin, 150040, China.

Subjects: Single-Cell Gene Expression Analysis* ; Gene Expression Profiling*/Gene Expression Profiling*/Gene Expression Profiling*/methods; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: BMC biology [BMC Biol] 2023 Jul 19; Vol. 21 (1), pp. 159. Date of Electronic Publication: 2023 Jul 19.Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007

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