Bioinformatics and Biomedical Engineering

Table of Contents

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   Book Overview
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   Chapter 1 Integrative Analysis of Ovarian Serious Adenocarcinoma to Understand Disease Network Biology
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   Chapter 2 GAGAM: A Genomic Annotation-Based Enrichment of scATAC-seq Data for Gene Activity Matrix
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   Chapter 3 Finding Significantly Enriched Cells in Single-Cell RNA Sequencing by Single-Sample Approaches
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   Chapter 4 Comparison of Stranded and Non-stranded RNA-Seq in Predicting Small RNAs in a Non-model Bacterium
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   Chapter 5 Comparative Study of Synthetic Bulk RNA-Seq Generators
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   Chapter 6 Investigating Sources of Zeros in 10× Single-Cell RNAseq Data
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   Chapter 7 Exhaled Breath Condensate Study for Biomarkers Discovery
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   Chapter 8 Statistical Learning Analysis of Thyroid Cancer Microarray Data
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    Chapter 9 Migrating CUDA to oneAPI: A Smith-Waterman Case Study
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    Chapter 10 Fuzzy-Inference System for Isotopic Envelope Identification in Mass Spectrometry Imaging Data
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    Chapter 11 Receptor Tyrosine Kinase KIT: A New Look for an Old Receptor
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    Chapter 12 Human Vitamin K Epoxide Reductase as a Target of Its Redox Protein
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    Chapter 13 A Distance Geometry Procedure Using the Levenberg-Marquardt Algorithm and with Applications in Biology but Not only
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    Chapter 14 A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation
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    Chapter 15 Strong Prevalence of the Function over Taxonomy in Human t RNA Genes
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    Chapter 16 A Methodology for Co-simulation-Based Optimization of Biofabrication Protocols
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    Chapter 17 A 3D Multicellular Simulation Layer for the Synthetic Biology CAD Infobiotics Workbench Suite
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    Chapter 18 Integrating in-vivo Data in CFD Simulations and in in-vitro Experiments of the Hemodynamic in Healthy and Pathologic Thoracic Aorta
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    Chapter 19 Sensitivity Analysis of Adhesion in Computational Model of Elastic Doublet
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    Chapter 20 Increasing the Accuracy of Optipharm’s Virtual Screening Predictions by Implementing Molecular Flexibility
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    Chapter 21 Comparisons of Knowledge Graphs and Entity Extraction in Breast Cancer Subtyping Biomedical Text Analysis
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    Chapter 22 Towards XAI: Interpretable Shallow Neural Network Used to Model HCP’s fMRI Motor Paradigm Data
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    Chapter 23 A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques
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    Chapter 24 Data Transformation for Clustering Utilization for Feature Detection in Mass Spectrometry
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    Chapter 25 Spolmap: An Enriched Visualization of CRISPR Diversity
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    Chapter 26 How to Compare Various Clustering Outcomes? Metrices to Investigate Breast Cancer Patient Subpopulations Based on Proteomic Profiles
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    Chapter 27 Sperm-cell Detection Using YOLOv5 Architecture
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    Chapter 28 Comparative Analysis of Supervised Cell Type Detection in Single-Cell RNA-seq Data
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    Chapter 29 PathWeigh – Quantifying the Behavior of Biochemical Pathway Cascades
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    Chapter 30 Translational Challenges of Biomedical Machine Learning Solutions in Clinical and Laboratory Settings
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    Chapter 31 Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity
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    Chapter 32 Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model
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    Chapter 33 Iterative Clustering for Differential Gene Expression Analysis
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    Chapter 34 Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data
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    Chapter 35 Evaluating Performance of Regression and Classification Models Using Known Lung Carcinomas Prognostic Markers
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    Chapter 36 Approximate Pattern Matching Using Search Schemes and In-Text Verification
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    Chapter 37 KFinger: Capturing Overlaps Between Long Reads by Using Lyndon Fingerprints
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    Chapter 38 Can We Detect T Cell Receptors from Long-Read RNA-Seq Data?