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Bioinformatics and Biomedical Engineering

9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II

"Bioinformatics and Biomedical Engineering" is published by Springer International Publishing AG in 2022 - Cham, it has 1 pages and the language of the book is English.


“Bioinformatics and Biomedical Engineering” Metadata:

  • Title: ➤  Bioinformatics and Biomedical Engineering
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: ➤  Springer International Publishing AG
  • Publish Date:
  • Publish Location: Cham

“Bioinformatics and Biomedical Engineering” Subjects and Themes:

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"Bioinformatics and Biomedical Engineering" Description:

Open Data:

Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Chip-Seq and RNA-Seq Analysis -- Integrative Analysis of Ovarian Serious Adenocarcinoma to Understand Disease Network Biology -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Retrieval -- 2.2 Differentially Expressed Genes (DEGs) Identification -- 2.3 Disease-Gene Association analysis -- 2.4 Principal Component Analysis and Kaplan-Meiers Survival Estimation -- 2.5 Gene Set Enrichment Analysis (GSEA) -- 2.6 Construction of Gene Regulatory Network and Analysis -- 3 Results -- 3.1 Significant Differentially Expressed Genes (DEGs) -- 3.2 Disease-gene Associations (DGA) Study -- 3.3 PCA and Kaplan-Meiers (KM) Survival Estimation -- 3.4 Gene Set Enrichment Analysis of the 8 Seed Genes -- 3.5 Gene Regulatory Network Construction, Visualization and Topological Analysis -- 4 Discussion -- 5 Conclusion -- References -- GAGAM: A Genomic Annotation-Based Enrichment of scATAC-seq Data for Gene Activity Matrix -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Genomic Annotation -- 3.2 Promoter Peaks Matrix -- 3.3 Intragenic Peaks Matrix -- 3.4 Promoter-Enhancer Co-accessibility Matrix -- 4 Results and Discussion -- 4.1 Evaluation Strategy -- 4.2 Metrics Definition -- 4.3 Datasets -- 4.4 Results -- 5 Conclusions -- References -- Finding Significantly Enriched Cells in Single-Cell RNA Sequencing by Single-Sample Approaches -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Single-Sample Pathway Enrichment Algorithms -- 2.3 Algorithm's Evaluation -- 3 Results -- 4 Conclusions -- References -- Comparison of Stranded and Non-stranded RNA-Seq in Predicting Small RNAs in a Non-model Bacterium -- 1 Introduction -- 2 Materials and Methods -- 2.1 Genome and Annotation -- 2.2 Transcriptomic Data -- 2.3 Data Preprocessing

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