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ORCID15th ISBRA 2019: Barcelona, Spain
- Zhipeng Cai, Pavel Skums, Min Li:
Bioinformatics Research and Applications - 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings. Lecture Notes in Computer Science 11490, Springer 2019, ISBN 978-3-030-20241-5
Genome Analysis
- Zhi-Zhong Chen, Shohei Ueta, Jingyu Li, Lusheng Wang:
Computing a Consensus Phylogeny via Leaf Removal. 3-15 - Xiangyu Yang, Zhenghao Li, Jingtian Zhao, Tao Ma
, Pengchao Li, Le Zhang:
The Review of Bioinformatics Tool for 3D Plant Genomics Research. 16-27 - Klairton Lima Brito, Géraldine Jean, Guillaume Fertin, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias:
Sorting by Reversals, Transpositions, and Indels on Both Gene Order and Intergenic Sizes. 28-39 - Peng Du, Huw A. Ogilvie, Luay Nakhleh:
Unifying Gene Duplication, Loss, and Coalescence on Phylogenetic Networks. 40-51 - Jucheol Moon, Oliver Eulenstein:
The Cluster Affinity Distance for Phylogenies. 52-64 - Zaobo He, Jianqiang Li:
Modeling SNP-Trait Associations and Realizing Privacy-Utility Tradeoff in Genomic Data Publishing. 65-72 - Lei Li, Mukul S. Bansal:
Simultaneous Multi-Domain-Multi-Gene Reconciliation Under the Domain-Gene-Species Reconciliation Model. 73-86
Systems Biology
- Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions. 89-99 - Filipe Gouveia, Inês Lynce, Pedro T. Monteiro:
Model Revision of Boolean Regulatory Networks at Stable State. 100-112 - Jie Hao, Mohammad Masum, Jung Hun Oh, Mingon Kang:
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. 113-124
Computational Proteomics
- Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li:
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. 127-137 - Sudipta Acharya, Laizhong Cui, Yi Pan:
Automated Hub-Protein Detection via a New Fused Similarity Measure-Based Multi-objective Clustering Framework. 138-145 - Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang:
Improving Identification of Essential Proteins by a Novel Ensemble Method. 146-155
Machine and Deep Learning
- Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. 159-170 - Fengpan Zhao, Pavel Skums, Alex Zelikovsky, Eric L. Sevigny, Monica Haavisto Swahn, Sheryl M. Strasser, Yubao Wu:
Detecting Illicit Drug Ads in Google+ Using Machine Learning. 171-179
Data Analysis and Methodology
- Ariel Bruner, Roded Sharan:
A Robustness Analysis of Dynamic Boolean Models of Cellular Circuits. 183-195 - Jakob L. Andersen, Daniel Merkle, Peter S. Rasmussen:
Graph Transformations, Semigroups, and Isotopic Labeling. 196-207 - Enrico Petrucci, Laurent Noé, Cinzia Pizzi, Matteo Comin:
Iterative Spaced Seed Hashing: Closing the Gap Between Spaced Seed Hashing and k-mer Hashing. 208-219 - Zihao Wang, Jingrong Zhang, Xintong Liu, Zhiyong Liu, Xiaohua Wan, Fa Zhang:
DM-SIRT: A Distributed Method for Multi-tilt Reconstruction in Electron Tomography. 220-231 - Charles E. Wimberley, Steffen Heber:
PeakPass: Automating ChIP-Seq Blacklist Creation. 232-243 - Lixin Liu, Haitao Jiang, Peiqiang Liu, Binhai Zhu, Daming Zhu:
Maximum Stacking Base Pairs: Hardness and Approximation by Nonlinear LP-Rounding. 244-256 - Sagi Snir:
Greedy Partition Distance Under Stochastic Models - Analytic Results. 257-269
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