Stefan Bekiranov

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 5

Top Topics

Hamming Distance

Gene Regulation

Top Venues

Quantum Mach. Intell.

Publications

Guangzhi Xiong, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinform. 40 (7) (2024)
Hyun Jae Cho, Mia Shu, Stefan Bekiranov, Chongzhi Zang, Aidong Zhang
Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment. Bioinform. 39 (4) (2023)
Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq. Bioinform. 39 (8) (2023)
Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM (2020)
Kunal Kathuria, Aakrosh Ratan, Michael McConnell, Stefan Bekiranov
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne. Quantum Mach. Intell. 2 (1) (2020)
Marcin Cieslik, Stefan Bekiranov
Genome-wide predictors of NF-κB recruitment and transcriptional activity. BioData Min. 8 (2015)
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan Bekiranov
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression. BMC Bioinform. 11 (2010)
Youngchul Kim, Stefan Bekiranov, Jae K. Lee, Taesung Park
Double error shrinkage method for identifying protein binding sites observed by tiling arrays with limited replication. Bioinform. 25 (19) (2009)