Accepted Papers

RECOMB 2024 Accepted Papers

  • Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets
    Matthew Man-Hou Hong, David Froelicher, Ricky Magner, Victoria Popic, Bonnie Berger and Hyunghoon Cho

  • GFETM: Genome Foundation-based Embedded Topic Model for scATAC-seq Modeling
    Yimin Fan, Yu Li, Jun Ding and Yue Li

  • Fast Approximate IsoRank for Scalable Global Alignment of Biological Networks
    Kapil Devkota, Anselm Blumer, Xiaozhe Hu and Lenore Cowen

  • Sequential Optimal Experimental Design of Perturbation Screens Guided by Multi-modal Priors
    Kexin Huang, Romain Lopez, Jan-Christian Hutter, Takamasa Kudo, Antonio Rios and Aviv Regev

  • Efficient Analysis of Annotation Colocalization Accounting for Genomic Contexts
    Askar Gafurov, Tomas Vinar, Paul Medvedev and Broňa Brejová

  • SEM: sized-based expectation maximization for characterizing nucleosome positions and subtypes
    Jianyu Yang, Kuangyu Yen and Shaun Mahony

  • Centrifuger: lossless compression of microbial genomes for efficient and accurate metagenomic sequence classification
    Li Song and Ben Langmead

  • BONOBO: Bayesian Optimized sample-specific Networks Obtained By Omics data
    Enakshi Saha, Viola Fanfani, Panagiotis Mandros, Marouen Ben Guebila, Jonas Fischer, Katherine Shutta, Kimberly Glass, Dawn DeMeo, Camila Lopes Ramos and John Quackenbush

  • regLM: Designing realistic regulatory DNA with autoregressive language models
    Avantika Lal, Tommaso Biancalani and Gokcen Eraslan

  • DexDesign: A new OSPREY-based algorithm for designing de novo D-peptide inhibitors
    Nathan Guerin, Henry Childs, Pei Zhou and Bruce Donald

  • Secure federated Boolean count queries using fully-homomorphic cryptography
    Alex Leighton and Yun William Yu

  • Memory-bound k-mer selection for large evolutionary diverse reference libraries
    Ali Osman Berk Şapcı and Siavash Mirarab

  • SpaCeNet: Spatial Cellular Networks from omics data
    Stefan Schrod, Niklas Lück, Robert Lohmayer, Stefan Solbrig, Tina Wipfler, Katherine H. Shutta, Marouen Ben Guebila, Andreas Schäfer, Tim Beißbarth, Helena U. Zacharias, Peter J. Oefner, John Quackenbush and Michael Altenbuchinger

  • FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation
    Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji and Ozlem Ozmen Garibay

  • An integer programming framework for identifying stable components in asynchronous Boolean networks
    Shani Jacobson and Roded Sharan

  • ImputeCC enhances integrative Hi-C-based metagenomic binning through constrained random-walk-based imputation
    Yuxuan Du, Wenxuan Zuo and Fengzhu Sun

  • Discovering and overcoming the bias in neoantigen identification by unified machine learning models
    Ziting Zhang, Wenxu Wu, Lei Wei and Xiaowo Wang

  • MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies
    Myson Burch, Aritra Bose, Gregory Dexter, Laxmi Parida and Petros Drineas

  • Community structure and temporal dynamics of viral epistatic networks allow for early detection of emerging variants with altered phenotypes
    Fatemeh Mohebbi, Alex Zelikovsky, Serghei Mangul, Gerardo Chowell-Puente and Pavel Skums

  • Improving Hi-C contact matrices using genome graphs
    Yihang Shen, Lingge Yu, Yutong Qiu, Tianyu Zhang and Carl Kingsford

  • Maximum Likelihood Inference of Time-scaled Cell Lineage Trees with Mixed-type Missing Data
    Uyen Mai, Gillian Chu and Benjamin Raphael

  • TRIBAL: Tree Inference of B cell Clonal Lineages
    Leah Weber, Derek Reiman, Mrinmoy Roddur, Yuanyuan Qi, Mohammed El-Kebir and Aly Khan

  • Mapping the topography of spatial gene expression with interpretable deep learning
    Uthsav Chitra, Brian Arnold, Hirak Sarkar, Cong Ma, Sereno Lopez-Darwin, Kohei Sanno and Ben Raphael

  • Meta-colored compacted de Bruijn graphs
    Giulio Ermanno Pibiri, Jason Fan and Robert Patro

  • GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly
    Ali Azizpour, Advait Balaji, Todd J. Treangen and Santiago Segarra

  • PRS-Net: Interpretable polygenic risk scores via geometric learning
    Han Li, Jianyang Zeng, Michael Snyder and Sai Zhang

  • Color Coding for the Fragment-Based Docking, Design and Equilibrium Statistics of Protein-Binding ssRNAs
    Taher Yacoub, Roy González-Alemán, Fabrice Leclerc, Isaure Chauvot de Beauchene and Yann Ponty

  • Automated design of efficient search schemes for lossless approximate pattern matching
    Luca Renders, Lore Depuydt, Sven Rahmann and Jan Fostier

  • Haplotype-aware Sequence-to-Graph Alignment
    Ghanshyam Chandra and Chirag Jain

  • Disease Risk Predictions with Differentiable Mendelian Randomization
    Ludwig Gräf, Daniel Sens, Liubov Shilova and Francesco Paolo Casale

  • DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from sequential single-cell data
    Cameron Park, Shouvik Mani, Nicolas Beltran, Katie Maurer, Satyen Gohil, Shuqiang Li, Teddy Huang, David Knowles, Catherine Wu and Elham Azizi

  • Enhancing gene set analysis in embedding spaces: a novel best-match approach
    Lechuan Li, Ruth Dannenfelser, Charlie Cruz and Vicky Yao

  • PEFT-SP: Parameter-Efficient Fine-Tuning on Large Protein Language Models Improves Signal Peptide Prediction
    Shuai Zeng, Duolin Wang and Dong Xu

  • CELL-E: A Text-To-Image Transformer for Protein Localization Prediction
    Emaad Khwaja, Yun S. Song and Bo Huang

  • Decoil: Reconstructing extrachromosomal DNA structural heterogeneity from long-read sequencing data_
    Madalina Giurgiu, Nadine Wittstruck, Elias Rodriguez-Fos, Rocio Chamorro-Gonzalez, Lotte Brueckner, Annabell Krienelke-Szymansky, Konstantin Helmsauer, Anne Hartebrodt, Richard P. Koche, Kerstin Haase, Knut Reinert and Anton G. Henssen

  • Privacy Preserving Epigenetic PaceMaker Stronger Privacy & Improved Efficiency
    Meir Goldenberg, Loay Mualem, Amit Shahar, Sagi Snir and Adi Akavia

  • Topological Velocity Inference from Spatial Transcriptomic Data Maps Cell Fate Transition in Space and Time
    Yichen Gu, Jialin Liu, Chen Li and Joshua Welch

  • Protein domain embeddings for fast and accurate similarity search
    Benjamin Iovino, Haixu Tang and Yuzhen Ye

  • A Scalable Optimization Algorithm for Solving the Beltway and Turnpike Problems with Uncertain Measurements
    Shane Elder, Quang Minh Hoang, Mohsen Ferdosi and Carl Kingsford

  • Processing bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction models
    George Austin, Aya Brown Kav and Tal Korem

  • VICTree - a Variational Inference method for Clonal Tree reconstruction
    Harald Melin*, Vittorio Zampinetti*, Andrew McPherson and Jens Lagergren

  • Overcoming Observation Bias for Cancer Progression Modeling
    Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang and Niko Beerenwinkel

  • DeST-OT: Alignment of Spatiotemporal Transcriptomics Data
    Peter Halmos, Xinhao Liu, Julian Gold, Feng Chen, Li Ding and Ben Raphael

  • Determining Optimal Placement of Copy Number Aberration Impacted Single Nucleotide Variants in a Tumor Progression History
    Chih Hao Wu, Suraj Joshi, Welles Robinson, Paul F. Robbins, Russell Schwartz, S. Cenk Sahinalp and Salem Malikic

  • Accurate Assembly of Circular RNAs with TERRACE
    Tasfia Zahin, Qian Shi, Xiaofei Carl Zang and Mingfu Shao

  • Semi-supervised learning while controlling the FDR with an application to tandem mass spectrometry analysis
    Jack Freestone, Lukas Käll, William Stafford Noble and Uri Keich

  • Inferring Metabolic States via Geometric Deep Learning
    Holly Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Michael Perlmutter and Smita Krishnaswamy

  • CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing
    Kaiyuan Zhu, Matthew Jones, Jens Luebeck, Xinxin Bu, Hyerim Yi, King L. Hung, Ivy Tsz-Lo Wong, Shu Zhang, Paul Mischel, Howard Chang and Vineet Bafna

  • A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits
    Boyang Fu, Prateek Anand, Aakarsh Anand, Sriram Sankararaman and Joel Mefford

  • Optimal Tree Metric Matching Enables Phylogenomic Branch Length Reconciliation
    Shayesteh Arasti, Puoya Tabaghi, Yasamin Tabatabaee and Siavash Mirarab

  • Inferring allele-specific copy number aberrations and tumor phylogeography using spatially resolved transcriptomics
    Cong Ma, Metin Balaban, Clara Liu, Siqi Chen, Li Ding and Ben Raphael

  • Computing robust optimal factories in metabolic reaction networks
    Spencer Krieger and John Kececioglu

  • Contrastive Fitness Learning: Reprogramming Protein Language Models for Low-N Learning of Protein Fitness Landscape
    Junming Zhao, Chao Zhang and Yunan Luo

  • Scalable summary statistics-based heritability estimation method with individual genotype level accuracy
    Moonseong Jeong, Ali Pazokitoroudi and Sriram Sankararaman

  • Undesignable RNA Structure Identification via Rival Structure Construction and Structure Decomposition
    Tianshuo Zhou, Wei Yu Tang, David Mathews and Liang Huang

  • Graph-matching-based learning of substitution matrices for biological structures with functional priors.
    Paolo Pellizzoni, Carlos Oliver and Karsten Borgwardt

  • scMuLan: a multitask generative pre-trained language model for single-cell analysis
    Haiyang Bian, Yixin Chen, Xiaomin Dong, Chen Li, Lei Wei and Xuegong Zhang