- 2023
- Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
Deep Learning Architectures for the Prediction of YY1-Mediated Chromatin Loops. ISBRA 2023: 72-84 - Sarwan Ali, Pin-Yu Chen, Murray Patterson:
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA 2023: 1-15 - Sarwan Ali, Prakash Chourasia, Murray Patterson:
PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA 2023: 376-386 - Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson:
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA 2023: 387-397 - Sarwan Ali, Usama Sardar, Imdadullah Khan, Murray Patterson:
Efficient Sequence Embedding for SARS-CoV-2 Variants Classification. ISBRA 2023: 16-30 - Ying An, Anxuan Xiong, Lin Guo:
DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection. ISBRA 2023: 398-408 - Jakob L. Andersen, Sissel Banke, Rolf Fagerberg, Christoph Flamm, Daniel Merkle, Peter F. Stadler:
On the Realisability of Chemical Pathways. ISBRA 2023: 409-419 - Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran:
On Computing the Jaro Similarity Between Two Strings. ISBRA 2023: 31-44 - Xuehua Bi, Chunyang Jiang, Cheng Yan, Kai Zhao, Linlin Zhang, Jianxin Wang:
Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge. ISBRA 2023: 45-57 - Carissa Bleker, Stephen K. Grady, Michael A. Langston:
A Brief Study of Gene Co-expression Thresholding Algorithms. ISBRA 2023: 420-430 - Mathieu Bolteau, Jérémie Bourdon, Laurent David, Carito Guziolowski:
Inferring Boolean Networks from Single-Cell Human Embryo Datasets. ISBRA 2023: 431-441 - Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson:
Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA 2023: 442-452 - Casper Asbjørn Eriksen, Jakob Lykke Andersen, Rolf Fagerberg, Daniel Merkle:
Reconciling Inconsistent Molecular Structures from Biochemical Databases. ISBRA 2023: 58-71 - Hafsa Farooq, Daniel Novikov, Akshay Juyal, Alexander Zelikovsky:
Genetic Algorithm with Evolutionary Jumps. ISBRA 2023: 453-463 - Yuxia Guan, Ying An, Fengyi Guo, Jianxin Wang:
MPFNet: ECG Arrhythmias Classification Based on Multi-perspective Feature Fusion. ISBRA 2023: 85-96 - Md. Tofazzal Hossain, Md. Selim Reza, Xuelei Li, Yin Peng, Shengzhong Feng, Yanjie Wei:
PCPI: Prediction of circRNA and Protein Interaction Using Machine Learning Method. ISBRA 2023: 97-106 - Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li, Yijia Zhang:
Radiology Report Generation via Visual Recalibration and Context Gating-Aware. ISBRA 2023: 107-119 - Guy Katriel, Udi Mahanaymi, Christoph Koutschan, Doron Zeilberger, Mike Steel, Sagi Snir:
Using Generating Functions to Prove Additivity of Gene-Neighborhood Based Phylogenetics - Extended Abstract. ISBRA 2023: 120-135 - Hongyang Lei, Huazhen Huang, Bokai Yang, Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li:
TCSA: A Text-Guided Cross-View Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning. ISBRA 2023: 136-149 - Yulong Li, Hongming Zhu, Xiaowen Wang, Qin Liu:
HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data. ISBRA 2023: 464-475 - Sarah von Löhneysen, Thomas Spicher, Yuliia Varenyk, Hua-Ting Yao, Ronny Lorenz, Ivo L. Hofacker, Peter F. Stadler:
Phylogenetic Information as Soft Constraints in RNA Secondary Structure Prediction. ISBRA 2023: 267-279 - Haijing Luan, Taiyuan Hu, Jifang Hu, Ruilin Li, Detao Ji, Jiayin He, Xiaohong Duan, Chunyan Yang, Yajun Gao, Fan Chen, Beifang Niu:
Multi-class Cancer Classification of Whole Slide Images Through Transformer and Multiple Instance Learning. ISBRA 2023: 150-164 - Huidong Ma, Cheng Zhong, Hui Sun, Danyang Chen, Haixiang Lin:
ricME: Long-Read Based Mobile Element Variant Detection Using Sequence Realignment and Identity Calculation. ISBRA 2023: 165-177 - Gatis Melkus, Sandra Silina, Andrejs Sizovs, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna:
Clique-Based Topological Characterization of Chromatin Interaction Hubs. ISBRA 2023: 476-486 - Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA 2023: 178-189 - Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang:
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA 2023: 190-201 - Enrico Rossignolo, Matteo Comin:
USTAR: Improved Compression of k-mer Sets with Counters Using de Bruijn Graphs. ISBRA 2023: 202-213 - Hossein Saghaian, Pavel Skums, Yurij Ionov, Alex Zelikovsky:
Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire. ISBRA 2023: 214-226 - Bikram Sahoo, Temitope Adeyeha, Zandra Pinnix, Alex Zelikovsky:
Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms. ISBRA 2023: 487-497 - Bikram Sahoo, Zandra Pinnix, Alex Zelikovsky:
Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer. ISBRA 2023: 498-508