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ORCID16th ISBRA 2020: Moscow, Russia
- Zhipeng Cai
, Ion I. Mandoiu, Giri Narasimhan, Pavel Skums, Xuan Guo:
Bioinformatics Research and Applications - 16th International Symposium, ISBRA 2020, Moscow, Russia, December 1-4, 2020, Proceedings. Lecture Notes in Computer Science 12304, Springer 2020, ISBN 978-3-030-57820-6 - Fahad Alqahtani, Ion I. Mandoiu:
Mitochondrial Haplogroup Assignment for High-Throughput Sequencing Data from Single Individual and Mixed DNA Samples. 1-12 - Sai Wang, Caiyan Jia, Zhineng Chen, Xieping Gao:
Signet Ring Cell Detection with Classification Reinforcement Detection Network. 13-25 - Hao Gao, Min Li, Fang-Xiang Wu:
SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. 26-37 - D. A. Petukhova, E. E. Gurinova, A. L. Sukhomyasova, N. R. Maksimova:
Identification of a Novel Compound Heterozygous Variant in NBAS Causing Bone Fragility by the Type of Osteogenesis Imperfecta. 38-43 - Qiuyue Huang, Jun Wang, Xiangliang Zhang, Guoxian Yu:
Isoform-Disease Association Prediction by Data Fusion. 44-55 - Huiling Zhang, Guoxian Yu, Wei Ren, Maozu Guo, Jun Wang:
EpIntMC: Detecting Epistatic Interactions Using Multiple Clusterings. 56-67 - Davide Storato, Matteo Comin:
Improving Metagenomic Classification Using Discriminative k-mers from Sequencing Data. 68-81 - Shan Gao, Renmin Han, Xiangrui Zeng, Xuefeng Cui, Zhiyong Liu, Min Xu, Fa Zhang:
Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography. 82-94 - Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li:
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. 95-104 - Wen Yang, Lusheng Wang:
mapAlign: An Efficient Approach for Mapping and Aligning Long Reads to Reference Genomes. 105-118 - Nadav Brandes, Nathan Linial, Michal Linial:
Functional Evolutionary Modeling Exposes Overlooked Protein-Coding Genes Involved in Cancer. 119-126 - David Fernández-Baca, Lei Liu:
Testing the Agreement of Trees with Internal Labels. 127-139 - Wenyan Gu, Aizhong Zhou, Lusheng Wang, Shiwei Sun, Xuefeng Cui, Daming Zhu:
SVLR: Genome Structure Variant Detection Using Long Read Sequencing Data. 140-153 - Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang:
De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization. 154-165 - Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu:
Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. 166-177 - Na Li, Guihua Duan, Cheng Yan, Fang-Xiang Wu, Jianxin Wang:
MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron. 178-188 - Ghazaleh Parvini, Katherine Braught, David Fernández-Baca:
Checking Phylogenetic Decisiveness in Theory and in Practice. 189-202 - Saurav Dhar, Chengchen Zhang, Ion I. Mandoiu, Mukul S. Bansal:
TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity. 203-216 - Kseniia Cheloshkina, Islam Bzhikhatlov, Maria Poptsova:
Cancer Breakpoint Hotspots Versus Individual Breakpoints Prediction by Machine Learning Models. 217-228 - Javad Ansarifar, Alexey Markin, Pawel Górecki, Oliver Eulenstein:
Integer Linear Programming Formulation for the Unified Duplication-Loss-Coalescence Model. 229-242 - Alexander M. Andrianov, Grigory I. Nikolaev, Yuri V. Kornoushenko, Anna D. Karpenko, Ivan P. Bosko, Alexander V. Tuzikov:
In Silico-Guided Discovery of Potential HIV-1 Entry Inhibitors Mimicking bNAb N6: Virtual Screening, Docking, Molecular Dynamics, and Post-Molecular Modeling Analysis. 243-249 - Yuan Xie, Yulong Pei, Yun Lu, Haixu Tang, Yuan Zhou:
Learning Structural Genetic Information via Graph Neural Embedding. 250-261 - Oleg Tinkov, Pavel G. Polishchuk, Veniamin Yu. Grigor'ev, Yuri Porozov:
The Cross-Interpretation of QSAR Toxicological Models. 262-273 - Selcen Ari Yuka, Alper Yilmaz:
A New Network-Based Tool to Analyse Competing Endogenous RNAs. 274-281 - Heta P. Desai, Anuja P. Parameshwaran, Rajshekhar Sunderraman, Michael Weeks:
Deep Ensemble Models for 16S Ribosomal Gene Classification. 282-290 - Eugene V. Korotkov, Anastasya M. Kamionskaya, Maria A. Korotkova:
Search for Tandem Repeats in the First Chromosome from the Rice Genome. 291-295 - Anna Hadarovich, Alexander Kalinouski, Alexander V. Tuzikov:
Deep Learning Approach with Rotate-Shift Invariant Input to Predict Protein Homodimer Structure. 296-303 - Grigory I. Nikolaev, Nikita A. Shuldov, Arseny I. Anischenko, Alexander V. Tuzikov, Alexander M. Andrianov:
Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods. 304-311 - Alexander M. Andrianov, Grigory I. Nikolaev, Yuri V. Kornoushenko, Sergei A. Usanov:
In Silico Design and Evaluation of Novel Triazole-Based Compounds as Promising Drug Candidates Against Breast Cancer. 312-318 - Yangxiao Wang, Wooyoung Kim:
Identification of Essential Genes with NemoProfile and Various Machine Learning Models. 319-326 - Wooyoung Kim, Zachary Arthur Brader:
NemoLib: Network Motif Libraries for Network Motif Detection and Analysis. 327-334 - Filipp Rondel, Akram Sadat Hosseini, Bikram Sahoo, Sergey Knyazev, Igor Mandric, Frank Stewart, Ion I. Mandoiu, Bogdan Pasaniuc, Alex Zelikovsky:
Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data. 335-343 - Lingzhi Zhu, Cheng Yan, Guihua Duan:
Identification of Virus-Receptor Interactions Based on Network Enhancement and Similarity. 344-351 - Chun-Cheng Liu, Tao-Chuan Shih, Tun-Wen Pai, Chin-Hwa Hu, Lee-Jyi Wang:
Enhanced Functional Pathway Annotations for Differentially Expressed Gene Clusters. 352-363 - Xingfeng Lv, Jinbao Li, Qin Yan:
Automated Detection of Sleep Apnea from Abdominal Respiratory Signal Using Hilbert-Huang Transform. 364-371 - Yaroslav V. Solovev, Daria S. Ostroverkhova, Gaik Tamazian, Anton V. Domnin, Anastasya A. Anashkina, Irina Yu. Petrushanko, Eugene O. Stepanov, Yuri B. Porozov:
Na/K-ATPase Glutathionylation: in silico Modeling of Reaction Mechanisms. 372-380 - Nikolai S. Bykov, Olga M. Sigalova, Mikhail S. Gelfand, Aleksandra A. Galitsyna:
HiChew: a Tool for TAD Clustering in Embryogenesis. 381-388 - Marmar Moussa, Ion I. Mandoiu:
SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis. 389-397 - Ekaterina M. Myasnikova, Victoria Yu. Samuta, Alexander V. Spirov:
Quantitative Analysis of the Dynamics of Maternal Gradients in the Early Drosophila Embryo. 398-405 - Marc Hellmuth, Daniel Merkle, Nikolai Nøjgaard:
Atom Tracking Using Cayley Graphs. 406-415
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