Published: Springer, 2020
Description:
1 online resource.
Contents:
“…Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples -- Signet Ring Cell Detection with Classi cation Reinforcement Detection Network -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta -- Isoform-disease association prediction by data fusion -- EpIntMC: Detecting Epistatic Interactions using Multiple Clusterings -- Improving Metagenomic Classi cation using discriminative k-mers from sequencing data -- Dilated-DenseNet For Macromolecule Classifi cation In Cryo-electron Tomography -- Ess-NEXG: Predict Essential Proteins by Constructing a Weighted -- Protein Interaction Network based on Node Embedding and XGBoost -- mapAlign: an efficient approach for mapping and aligning long reads to reference genomes -- Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer -- Testing the Agreement of Trees with Internal Labels -- SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data -- De novo prediction of drug-target interaction via Laplacian regularized Schatten-p norm minimization -- Diagnosis of ASD from rs-fMRIs based on brain dynamic networks -- miRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron -- Checking Phylogenetic Decisiveness in Theory and in Practice -- TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity -- Cancer breakpoint hotspots versus individual breakpoints prediction by machine learning models -- Integer Linear Programming Formulation for the Uni ed DuplicationLoss-Coalescence Model -- In silico-guided discovery of potential HIV-1 entry inhibitors mimicking bNAb N6: virtual screening, docking, molecular dynamics, and post-
molecular modeling analysis -- Learning Structural Genetic Information via Graph Neural Embedding -- A New Network-based Tool to Analyse Competing Endogenous RNAs -- Deep Ensemble models for 16S Ribosomal Gene Classification -- Search for tandem repeats in the rst chromosome from the rice genome -- Deep Learning approach with rotate-shift invariant input to predict protein homodimer structure -- Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and
Molecular Modeling Methods -- In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer -- Identification of essential genes with NemoPro le and various machine learning models -- NemoLib: Network Motif Libraries for network motif detection and analysis -- Estimating enzyme participation in metabolic pathways for microbial communities from RNA-seq data -- Identication of Virus-Receptor Interactions based on Network Enhancement and Similarity -- Enhanced functional pathway annotations for differentially expressed gene clusters -- Automated Detection of Sleep Apnea from Abdominal Respiratory Signal using Hilbert-Huang Transform -- Na/K-ATPase glutathionylation: in silico modeling of reaction mechanisms -- HiChew: a tool for TAD clustering in embryogenesis -- Generation of Hi-C maps from DNA sequence data using Deep Learning -- SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis -- Quantitative analysis of the dynamics of maternal gradients in the early Drosophila embryo -- Atom Tracking Using Cayley Graphs -- SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control -- Identification of a novel compound heterozygous variant in NBAS causing bone fragility by the type of osteogenesis imperfecta.…”
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