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ORCID24th RECOMB 2020: Padua, Italy
- Russell Schwartz:
Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10-13, 2020, Proceedings. Lecture Notes in Computer Science 12074, Springer 2020, ISBN 978-3-030-45256-8
Extended Abstracts
- Leonard Bohnenkämper
, Marília D. V. Braga, Daniel Doerr, Jens Stoye:
Computing the Rearrangement Distance of Natural Genomes. 3-18 - Kamran Ghasedi Dizaji, Wei Chen, Heng Huang:
Deep Large-Scale Multi-task Learning Network for Gene Expression Inference. 19-36 - Baris Ekim, Bonnie Berger, Yaron Orenstein:
A Randomized Parallel Algorithm for Efficiently Finding Near-Optimal Universal Hitting Sets. 37-53 - Kristen Emery, Syamand Hasam, William Stafford Noble, Uri Keich:
Multiple Competition-Based FDR Control and Its Application to Peptide Detection. 54-71 - Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph:
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. 72-87 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang:
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. 88-103 - Pesho Ivanov, Benjamin Bichsel, Harun Mustafa, André Kahles, Gunnar Rätsch, Martin T. Vechev:
AStarix: Fast and Optimal Sequence-to-Graph Alignment. 104-119 - Brandon Legried, Erin K. Molloy, Tandy J. Warnow, Sébastien Roch:
Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss. 120-135 - Sneha Mitra, Jianling Zhong, David M. MacAlpine, Alexander J. Hartemink:
RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy. 136-151 - Amatur Rahman, Paul Medvedev:
Representation of k-mer Sets Using Spectrum-Preserving String Sets. 152-168 - Matthew A. Reyna, Uthsav Chitra, Rebecca Elyanow, Benjamin J. Raphael:
NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered Subnetworks. 169-185 - Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl:
Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification. 186-201 - Hongyu Zheng, Carl Kingsford, Guillaume Marçais:
Lower Density Selection Schemes via Small Universal Hitting Sets with Short Remaining Path Length. 202-217
Short Papers
- Jasmijn A. Baaijens, Leen Stougie, Alexander Schönhuth:
Strain-Aware Assembly of Genomes from Mixed Samples Using Flow Variation Graphs. 221-222 - Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony:
Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments. 223-225 - Anton Bankevich, Pavel A. Pevzner:
MosaicFlye: Resolving Long Mosaic Repeats Using Long Reads. 226-228 - Nico Borgsmüller, José Bonet, Francesco Marass, Abel Gonzalez-Perez, Núria López-Bigas, Niko Beerenwinkel:
Bayesian Non-parametric Clustering of Single-Cell Mutation Profiles. 229-230 - Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez:
PaccMannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. 231-233 - Aritra Bose, Myson C. Burch, Agniva Chowdhury, Peristera Paschou, Petros Drineas:
CluStrat: A Structure Informed Clustering Strategy for Population Stratification. 234-236 - Nadav Brandes, Nathan Linial, Michal Linial:
PWAS: Proteome-Wide Association Study. 237-239 - Christa Caggiano, Barbara Celona, Fleur Garton, Joel Mefford, Brian Black, Catherine Lomen-Hoerth, Andrew Dahl, Noah Zaitlen:
Estimating the Rate of Cell Type Degeneration from Epigenetic Sequencing of Cell-Free DNA. 240-242 - Gizem Caylak, A. Ercüment Çiçek:
Potpourri: An Epistasis Test Prioritization Algorithm via Diverse SNP Selection. 243-244 - Hyunghoon Cho, Sean Simmons, Ryan Kim, Bonnie Berger:
Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs. 245-247 - Chao Gao, Joshua D. Welch:
Iterative Refinement of Cellular Identity from Single-Cell Data Using Online Learning. 248-250 - Borislav H. Hristov, Bernard Chazelle, Mona Singh:
A Guided Network Propagation Approach to Identify Disease Genes that Combines Prior and New Information. 251-252 - Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Pasaniuc, Sriram Sankararaman:
A Scalable Method for Estimating the Regional Polygenicity of Complex Traits. 253-254 - Tyler A. Joseph, Amey P. Pasarkar, Itsik Pe'er:
Efficient and Accurate Inference of Microbial Trajectories from Longitudinal Count Data. 255-256 - Nathan LaPierre, Kodi Taraszka, Helen Huang, Rosemary He, Farhad Hormozdiari, Eleazar Eskin:
Identifying Causal Variants by Fine Mapping Across Multiple Studies. 257-258 - Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng:
MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins. 259-260 - Yunan Luo, Lam Vo, Hantian Ding, Yufeng Su, Yang Liu, Wesley Wei Qian, Huimin Zhao, Jian Peng:
Evolutionary Context-Integrated Deep Sequence Modeling for Protein Engineering. 261-263 - Uyen Mai, Siavash Mirarab:
Log Transformation Improves Dating of Phylogenies. 264-265 - Brooks Paige, James Bell, Aurélien Bellet, Adrià Gascón, Daphne Ezer:
Reconstructing Genotypes in Private Genomic Databases from Genetic Risk Scores. 266-268 - Ahsan Sanaullah, Degui Zhi, Shaojie Zhang:
d-PBWT: Dynamic Positional Burrows-Wheeler Transform. 269-270 - Itay Sason, Yuexi Chen, Mark D. M. Leiserson, Roded Sharan:
A Mixture Model for Signature Discovery from Sparse Mutation Data. 271-272 - Gryte Satas, Simone Zaccaria, Geoffrey Mon, Benjamin J. Raphael:
Single-Cell Tumor Phylogeny Inference with Copy-Number Constrained Mutation Losses. 273 - Yijie Wang, Justin M. Fear, Isabelle Berger, Hangnoh Lee, Brian Oliver, Teresa M. Przytycka:
Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System. 274-275 - Ruochi Zhang, Jian Ma:
Probing Multi-way Chromatin Interaction with Hypergraph Representation Learning. 276-277
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