Program agenda
The list of accepted papers:
- Michael Souza, Nilton Maia and Carlile Lavor. The Ordered Covering Problem in Distance Geometry
- Gabriel Siqueira, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Géraldine Jean, Guillaume Fertin and Zanoni Dias. Approximating Rearrangement Distances with Replicas and Flexible Intergenic Regions
- Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca Steorts, Daniel Weinberg, Sartaj Sahni and Sanguthevar Rajasekaran. On Computing the Jaro Similarity Between Two Strings
- Guy Katriel, Udi Mahanaymi, Christoph Koutschan, Doron Zeilberger, Mike Steel and Sagi Snir. Using Generating Functions to Prove Additivity of Gene-Neighborhood Based Phylogenetics
- Sumaira Zaman and Mukul S. Bansal. Reducing the impact of domain rearrangement on sequence alignment and phylogeny reconstruction
- Huixiu Xu, Xin Tong, Haitao Jiang, Lusheng Wang, Binhai Zhu and Daming Zhu. On Sorting by Flanked Transpositions
- Enrico Rossignolo and Matteo Comin. USTAR: Improved Compression of k-mer Sets with Counters Using De Bruijn Graphs
- Ming Chen, Bin Yao, Xiujuan Lei, Chunyan Ji, Zitao Hu and Yi Pan. Predicting Comprehensive Drug-Drug Interactions by Magnetic Signed Graph Neural Network
- Hui Feng, Guishen Wang and Chen Cao. BiRNN-DDI:A Drug-drug Interaction Event Type Prediction Model based on Bidirectional Recurrent Neural Network and Graph to Sequence Representation
- Md. Tofazzal Hossain, Md. Selim Reza, Yin Peng, Shengzhong Feng and Yanjie Wei. PCPI: Prediction of circRNA and protein interaction using machine learning method
- Wanyi Yang, Chuanfang Wu and Jinku Bao. PDFll: Intrinsic protein disorder and function prediction from the language of life
- Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, Muhammad Shoaib, Khurram Bashir, Imdadullah Khan and Murray Patterson. Sequence-Based Nanobody-Antigen Binding Prediction
- Ahtisham Fazeel, Muhammad Nabeel Asim, Johan Trygg, Andreas Dengel and Sheraz Ahmed. Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops
- Boxin Guan, Anqi Wang, Yahan Li, Feng Li, Jin-Xing Liu and Junliang Shang. ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection
- Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai and Juan Wang. scGASI: A graph autoencoder-based single-cell integration clustering method
- Shuo Xu, Liping Kang, Xingyu Bi and Xiaohui Wu. Integrative analysis of gene expression and alternative polyadenylation from single-cell RNA-seq data
- Mathieu Bolteau, Jérémie Bourdon, Laurent David and Carito Guziolowski. Inferring Boolean networks from single-cell human embryo datasets
- Tai-Ge Wang, Xiang-Zhen Kong, Sheng-Jun Li and Juan Wang. CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-cell Type Identification
- Zahra Tayebi, Akshay Juyal, Alex Zelikovsky and Murray Patterson. Simulating tumor evolution from scDNA-seq as an accumulation of both SNVs and CNAs
- Haijing Luan, Taiyuan Hu, Jifang Hu, Ruilin Li, Detao Ji, Jiayin He, Xiaohong Duan, Chunyan Yang, Yajun Gao, Fan Chen and Beifang Niu. Multi-Class Cancer Classification of Whole Slide Images through Transformer and Multiple Instance Learning
- Sarwan Ali, Usama Sardar, Imdadullah Khan and Murray Patterson. Efficient Sequence Embedding For SARS-CoV-2 Variants Classification
- Sarwan Ali, Pin-Yu Chen and Murray Patterson. Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences
- Yuxia Guan, Ying An, Fengyi Guo and Jianxin Wang. MPFNet: ECG Arrhythmias Classication Based on Multi-Perspective Feature Fusion
- Sarwan Ali, Haris Mansoor, Prakash Chourasia and Murray Patterson. Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification
- Yan Zhang, Xin Liu, Panrui Tang and Zuping Zhang. SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder
- Hongyang Lei, Huazhen Huang, Bokai Yang, Guosheng Cui, Ruxin Wang, Dan Wu and Ye Li. TCSA: A Text-guided Cross-view Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning
- Jordan Sturtz, Richard Annan, Binhai Zhu, Xiaowen Liu and Letu Qingge. A Convolutional Denoising Autoencoder for Protein Scaffold Filling
- Prakash Chourasia, Taslim Murad, Sarwan Ali and Murray Patterson. Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection
- Sarwan Ali, Prakash Chourasia and Murray Patterson. PDB2Vec: Using 3D Structural Information For Improved Protein Analysis
- Ying An, Anxuan Xiong and Lin Guo. DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection
- Lusheng Wang and Zhaohui Zhan. Proteoform identification for top-down tandem mass spectra: efficient algorithms for global and local alignments with peak error correction
- Zhidong Yang, Hongjia Li, Dawei Zang, Renmin Han and Fa Zhang. SaID: Simulation-aware Image Denoising Pre-trained Model for Cryo-EM Micrographs
- Jovial Niyogisubizo, Zhao Keliang, Jintao Meng, Yi Pan, Didi Rosiyadi and Yanjie Wei. Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-based Cell Segmentation in Microscopy Images
- Ya Lv, Jin Liu, Pei Yang and Yi Pan. Multi-modality MRI Feature Interaction for Pseudoprogression Prediction of Glioblastoma
- Shaokai Wang, Ming Zhu and Bin Ma. NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry
- Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li and Yijia Zhang. Radiology Report Generation via Visual Recalibration and Context Gating-aware
- André Salgado, Francisco Fernandes and Ana Teresa Freitas. CSA-MEM: Enhancing Circular DNA Multiple Alignment through Text Indexing Algorithms
- Hafsa Farooq, Daniel Novikov, Akshay Juyal and Alex Zelikovsky. Genetic Algorithm with Evolutionary Jumps
- Carissa Bleker, Stephen Grady and Michael A. Langston. A Brief Study of Gene Co-Expression Thresholding Algorithms
- Hossein Saghaian, Pavel Skums, Yurij Ionov and Alex Zelikovsky. Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire
- Huidong Ma, Cheng Zhong, Hui Sun and Haixiang Lin. ricME: long-read based mobile element variant detection using sequence realignment and identity calculation
- Casper Asbjørn Eriksen, Jakob Lykke Andersen, Rolf Fagerberg and Daniel Merkle. Reconciling Inconsistent Molecular Structures from Biochemical Databases
- Gatis Melkus, Sandra Siliņa, Andrejs Sizovs, Peteris Rucevskis, Lelde Lace, Edgars Celms and Juris Viksna. Clique-based topological characterization of chromatin interaction hubs
- Jakob Lykke Andersen, Sissel Banke, Rolf Fagerberg, Christoph Flamm, Daniel Merkle and Peter F. Stadler. On the Realisability of Chemical Pathways
- Rui Gao, Zixue Liu, Mei Meng and Jian He. Neurogenesis-associated Protein, a Potential Prognostic Biomarker in anti-PD-1 based kidney renal clear cell carcinoma patients’ therapeutics
- Bikram Sahoo and Alex Zelikovsky. Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer
- Bikram Sahoo and Alex Zelikovsky. Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms
- Yulong Li, Hongming Zhu, Xiaowen Wang and Qin Liu. HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data
- Jingjing Zhang, Md. Tofazzal Hossain, Zhen Ju, Wenhui Xi and Yanjie Wei. Identification and functional annotation of circRNAs in neuroblastoma based on bioinformatics
- Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang and Jianxin Wang. Identifying miRNA-disease Associations based on Simple Graph Convolution with DropMessage and Jumping Knowledge
- Sarah von Loehneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo Hofacker and Peter F. Stadler. Phylogenetic Information as Soft Constraints in RNA Secondary Structure Prediction
- Rafał Stępień, Joanna Szyda, Bartosz Czech and Magda Mielczarek. The effect of transcriptomic annotations in breast cancer DGE study