ISBRA

Keyphrases

Publications

2023

Tai-Ge Wang, Xiang-Zhen Kong, Shengjun Li, Juan Wang
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification. ISBRA (2023)
Mathieu Bolteau, Jérémie Bourdon, Laurent David, Carito Guziolowski
Inferring Boolean Networks from Single-Cell Human Embryo Datasets. ISBRA (2023)
Xiaodi Hou, Guoming Sang, Zhi Liu, Xiaobo Li, Yijia Zhang
Radiology Report Generation via Visual Recalibration and Context Gating-Aware. ISBRA (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)
Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA (2023)
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)
Gatis Melkus, Sandra Silina, Andrejs Sizovs, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna
Clique-Based Topological Characterization of Chromatin Interaction Hubs. ISBRA (2023)
Ying An, Anxuan Xiong, Lin Guo
DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection. ISBRA (2023)
Zahra Tayebi, Akshay Juyal, Alexander Zelikovsky, Murray Patterson
Simulating Tumor Evolution from scDNA-Seq as an Accumulation of both SNVs and CNAs. ISBRA (2023)
Carissa Bleker, Stephen K. Grady, Michael A. Langston
A Brief Study of Gene Co-expression Thresholding Algorithms. ISBRA (2023)
Casper Asbjørn Eriksen, Jakob Lykke Andersen, Rolf Fagerberg, Daniel Merkle
Reconciling Inconsistent Molecular Structures from Biochemical Databases. ISBRA (2023)
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)
Bikram Sahoo, Zandra Pinnix, Alex Zelikovsky
Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer. ISBRA (2023)
Yulong Li, Hongming Zhu, Xiaowen Wang, Qin Liu
HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data. ISBRA (2023)
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)
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)
Jingjing Zhang, Md. Tofazzal Hossain, Zhen Ju, Wenhui Xi, Yanjie Wei
Identification and Functional Annotation of circRNAs in Neuroblastoma Based on Bioinformatics. ISBRA (2023)
Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, Muhammad Shoaib, Khurram Bashir, Imdadullah Khan, Murray Patterson
Sequence-Based Nanobody-Antigen Binding Prediction. ISBRA (2023)
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)
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)
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)
Sarwan Ali, Pin-Yu Chen, Murray Patterson
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA (2023)
Hossein Saghaian, Pavel Skums, Yurij Ionov, Alex Zelikovsky
Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire. ISBRA (2023)
Bikram Sahoo, Temitope Adeyeha, Zandra Pinnix, Alex Zelikovsky
Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms. ISBRA (2023)
Sarwan Ali, Usama Sardar, Imdadullah Khan, Murray Patterson
Efficient Sequence Embedding for SARS-CoV-2 Variants Classification. ISBRA (2023)
Shaokai Wang, Ming Zhu, Bin Ma
NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry. ISBRA (2023)
Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson
Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA (2023)
Sumaira Zaman, Mukul S. Bansal
Reducing the Impact of Domain Rearrangement on Sequence Alignment and Phylogeny Reconstruction. ISBRA (2023)
Enrico Rossignolo, Matteo Comin
USTAR: Improved Compression of k-mer Sets with Counters Using de Bruijn Graphs. ISBRA (2023)
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)
Gabriel Siqueira, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Géraldine Jean, Guillaume Fertin, Zanoni Dias
Approximating Rearrangement Distances with Replicas and Flexible Intergenic Regions. ISBRA (2023)
Hafsa Farooq, Daniel Novikov, Akshay Juyal, Alexander Zelikovsky
Genetic Algorithm with Evolutionary Jumps. ISBRA (2023)
Sarwan Ali, Prakash Chourasia, Murray Patterson
PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA (2023)
Jakob L. Andersen, Sissel Banke, Rolf Fagerberg, Christoph Flamm, Daniel Merkle, Peter F. Stadler
On the Realisability of Chemical Pathways. ISBRA (2023)
Shuo Xu, Liping Kang, Xingyu Bi, Xiaohui Wu
Integrative Analysis of Gene Expression and Alternative Polyadenylation from Single-Cell RNA-seq Data. ISBRA (2023)
Huixiu Xu, Xin Tong, Haitao Jiang, Lusheng Wang, Binhai Zhu, Daming Zhu
On Sorting by Flanked Transpositions. ISBRA (2023)
Yuxia Guan, Ying An, Fengyi Guo, Jianxin Wang
MPFNet: ECG Arrhythmias Classification Based on Multi-perspective Feature Fusion. ISBRA (2023)
Yan Zhang, Xin Liu, Panrui Tang, Zuping Zhang
SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder. ISBRA (2023)
Michael Souza, Nilton Maia, Carlile Lavor
The Ordered Covering Problem in Distance Geometry. ISBRA (2023)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA (2023)
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)
Jordan Sturtz, Richard Annan, Binhai Zhu, Xiaowen Liu, Letu Qingge
A Convolutional Denoising Autoencoder for Protein Scaffold Filling. ISBRA (2023)
André Salgado, Francisco Fernandes, Ana Teresa Freitas
CSA-MEM: Enhancing Circular DNA Multiple Alignment Through Text Indexing Algorithms. ISBRA (2023)
Zhidong Yang, Hongjia Li, Dawei Zang, Renmin Han, Fa Zhang
SaID: Simulation-Aware Image Denoising Pre-trained Model for Cryo-EM Micrographs. ISBRA (2023)

volume 14248, 2023

Bioinformatics Research and Applications - 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9-12, 2023, Proceedings ISBRA 14248 (2023)

2022

volume 13760, 2022

Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, Proceedings ISBRA 13760 (2022)