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moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.

, и . BMC Bioinform., 24 (1): 169 (декабря 2023)

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Gyuwon Chae

Hong-Sik Chae

Yung-Bog Chae

Yi-Byung Chae

Jae-Ou Chae

 

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Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing., , и . IEEE Access, (2021)Integration of heterogeneous time series gene expression data by clustering on time dimension., , , и . BigComp, стр. 332-335. IEEE, (2017)HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis., , , , , и . BMC Bioinform., 20-S (16): 588:1-588:14 (2019)Correction to Ä Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data"., , и . IEEE Access, (2021)moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks., и . BMC Bioinform., 24 (1): 169 (декабря 2023)Transitioning BioVLab cloud workbench to a science gateway., , , , , и . TG, стр. 40:1-40:2. ACM, (2011)EGGSlicer: predicting biologically meaningful gene sets from gene clusters using gene ontology information., , , и . BCB, стр. 448-450. ACM, (2010)HTRgene: Integrating Multiple Heterogeneous Time-series Data to Investigate Cold and Heat Stress Response Signaling Genes in Arabidopsis., , , , , и . BIBM, стр. 393-398. IEEE Computer Society, (2018)A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data., , и . IEEE Access, (2020)BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data., , и . BMC Bioinform., 19 (1): 472:1-472:9 (2018)