Bioinformatics Research and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples
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   Chapter 2 Signet Ring Cell Detection with Classification Reinforcement Detection Network
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   Chapter 3 SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control
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   Chapter 4 Identification of a Novel Compound Heterozygous Variant in NBAS Causing Bone Fragility by the Type of Osteogenesis Imperfecta
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   Chapter 5 Isoform-Disease Association Prediction by Data Fusion
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   Chapter 6 EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings
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   Chapter 7 Improving Metagenomic Classification Using Discriminative k-mers from Sequencing Data
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   Chapter 8 Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography
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    Chapter 9 Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost
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    Chapter 10 mapAlign: An Efficient Approach for Mapping and Aligning Long Reads to Reference Genomes
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    Chapter 11 Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer
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    Chapter 12 Testing the Agreement of Trees with Internal Labels
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    Chapter 13 SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data
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    Chapter 14 De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization
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    Chapter 15 Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks
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    Chapter 16 MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron
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    Chapter 17 Checking Phylogenetic Decisiveness in Theory and in Practice
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    Chapter 18 TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity
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    Chapter 19 Cancer Breakpoint Hotspots Versus Individual Breakpoints Prediction by Machine Learning Models
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    Chapter 20 Integer Linear Programming Formulation for the Unified Duplication-Loss-Coalescence Model
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    Chapter 21 In Silico-Guided Discovery of Potential HIV-1 Entry Inhibitors Mimicking bNAb N6: Virtual Screening, Docking, Molecular Dynamics, and Post-Molecular Modeling Analysis
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    Chapter 22 Learning Structural Genetic Information via Graph Neural Embedding
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    Chapter 23 The Cross-Interpretation of QSAR Toxicological Models
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    Chapter 24 A New Network-Based Tool to Analyse Competing Endogenous RNAs
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    Chapter 25 Deep Ensemble Models for 16S Ribosomal Gene Classification
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    Chapter 26 Search for Tandem Repeats in the First Chromosome from the Rice Genome
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    Chapter 27 Deep Learning Approach with Rotate-Shift Invariant Input to Predict Protein Homodimer Structure
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    Chapter 28 Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods
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    Chapter 29 In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer
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    Chapter 30 Identification of Essential Genes with NemoProfile and Various Machine Learning Models
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    Chapter 31 NemoLib: Network Motif Libraries for Network Motif Detection and Analysis
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    Chapter 32 Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data
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    Chapter 33 Identification of Virus-Receptor Interactions Based on Network Enhancement and Similarity
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    Chapter 34 Enhanced Functional Pathway Annotations for Differentially Expressed Gene Clusters
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    Chapter 35 Automated Detection of Sleep Apnea from Abdominal Respiratory Signal Using Hilbert-Huang Transform
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    Chapter 36 Na/K-ATPase Glutathionylation: in silico Modeling of Reaction Mechanisms
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    Chapter 37 HiChew : a Tool for TAD Clustering in Embryogenesis
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    Chapter 39 SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis
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    Chapter 40 Quantitative Analysis of the Dynamics of Maternal Gradients in the Early Drosophila Embryo
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    Chapter 41 Atom Tracking Using Cayley Graphs