weighted gene co-expression network analysis approach (Applied Bioinformatics)
90
Structured Review
Applied Bioinformatics
weighted gene co-expression network analysis approach
Weighted Gene Co Expression Network Analysis Approach, supplied by Applied Bioinformatics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bioinformatics+analysis+of+microarray+data/microarray+analysis/pmc09322798-10-18-6
Average 90 stars, based on 1 article reviews
Weighted Gene Co Expression Network Analysis Approach, supplied by Applied Bioinformatics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bioinformatics+analysis+of+microarray+data/microarray+analysis/pmc09322798-10-18-6
Average 90 stars, based on 1 article reviews
weighted gene co-expression network analysis approach - by Bioz Stars,
2026-09
90/100 stars
Images
Related Articles
Gene Expression:Article Title: Metabolomic, proteomic, and transcriptomic changes in adults with epilepsy on modified Atkins diet. Article Snippet: 1Comprehensive Epilepsy Center, New York University Grossman School of Medicine, New York, New York, USA 2Center for Cognitive Neurology, Department of Neurology, New York University Grossman School of Medicine, New York, New York, USA 3Department of Neurology, New York University Grossman School of Medicine, New York, New York, USA 4Metabolomics Core Resource Laboratory, New York University Grossman School of Medicine, New York, New York, USA 5Applied Bioinformatics Laboratories, New York University Grossman School of Medicine, New York, New York, USA 6Proteomics Laboratory, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, New York, USA 7Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA 8Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA 9Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA 10Department of Psychiatry, New York University Grossman School of Medicine, New York, New York, USA Article Title: Complex integrated analysis of lncRNAs-miRNAs-mRNAs in oral squamous cell carcinoma. Article Snippet: Department of Cariology, Endodontology and Periodontology, University Leipzig, Liebigstr.. 12, 04103 Leipzig, Germany College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China Department of Periodontology, The Stomatology Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China Department of Orthopedic surgery, Brigham and Women’s Hospital, Harvard Medical School, Harvard University, Boston, USA other:Article Title: Integrative Bioinformatics Analysis Reveals CHEK1 and UBE2C as Luminal A Breast Cancer Subtype Biomarkers Article Snippet: As one of the most frequently Article Title: Culturing Synechocystis sp. Strain PCC 6803 with N 2 and CO 2 in a Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance Costs Article Snippet: We are further 529 grateful to the members of the Expressing:Article Title: Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells. Article Snippet: Accepted Manuscript Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells Linglu Jia, Yunpeng Zhang, Yawen Ji, Xiaomeng Li, Yixiao Xing, Yong Wen, Haiyun Huang, Xin Xu PII: S0378-1119(19)30241-0 DOI: https://doi.org/10.1016/j.gene.2019.03.015 Reference: GENE 43676 To appear in: Gene Received date: 1 October 2018 Revised date: 5 March 2019 Accepted date: 11 March 2019 Please cite this article as: L. Jia, Y. Zhang, Y. Ji, et al., Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells, Gene, https://doi.org/10.1016/j.gene.2019.03.015 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Article Title: Transcriptomic analysis and Novel gene pair-based signatures for Hepatitis B-related hepatocellular carcinoma Article Snippet: .. In this study, we applied bioinformatics approaches to study the Microarray:Article Title: Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells. Article Snippet: Accepted Manuscript Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells Linglu Jia, Yunpeng Zhang, Yawen Ji, Xiaomeng Li, Yixiao Xing, Yong Wen, Haiyun Huang, Xin Xu PII: S0378-1119(19)30241-0 DOI: https://doi.org/10.1016/j.gene.2019.03.015 Reference: GENE 43676 To appear in: Gene Received date: 1 October 2018 Revised date: 5 March 2019 Accepted date: 11 March 2019 Please cite this article as: L. Jia, Y. Zhang, Y. Ji, et al., Comparative analysis of lncRNA and mRNA expression profiles between periodontal ligament stem cells and gingival mesenchymal stem cells, Gene, https://doi.org/10.1016/j.gene.2019.03.015 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Article Title: Transcriptomic analysis and Novel gene pair-based signatures for Hepatitis B-related hepatocellular carcinoma Article Snippet: .. In this study, we applied bioinformatics approaches to study the Article Title: Culturing Synechocystis sp. Strain PCC 6803 with N 2 and CO 2 in a Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance Costs Article Snippet: .. We thank the members of the RNA Biology & Applied Bioinformatics group at SILS, in particular Selina van Leeuwen, Elisa Hoekstra, and Martijs Jonker, for the Article Title: Screening and verification of potential gene targets in esophageal carcinoma by bioinformatics analysis and immunohistochemistry Article Snippet: .. In this study, we applied bioinformatics analysis technologies such as Enzyme-linked Immunosorbent Assay:Article Title: Culturing Synechocystis sp. Strain PCC 6803 with N 2 and CO 2 in a Diel Regime Reveals Multiphase Glycogen Dynamics with Low Maintenance Costs Article Snippet: .. We thank the members of the RNA Biology & Applied Bioinformatics group at SILS, in particular Selina van Leeuwen, Elisa Hoekstra, and Martijs Jonker, for the Next-Generation Sequencing:Article Title: Screening and verification of potential gene targets in esophageal carcinoma by bioinformatics analysis and immunohistochemistry Article Snippet: .. In this study, we applied bioinformatics analysis technologies such as |