| Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas S Liang, R Zhang, D Liang, T Song, T Ai, C Xia, L Xia, Y Wang Genes 9 (8), 382, 2018 | 114 | 2018 |
| Classifying breast cancer subtypes using multiple kernel learning based on omics data M Tao, T Song, W Du, S Han, C Zuo, Y Li, Y Wang, Z Yang Genes 10 (3), 200, 2019 | 48 | 2019 |
| A feature selection method based on multiple kernel learning with expression profiles of different types W Du, Z Cao, T Song, Y Li, Y Liang BioData mining 10, 1-16, 2017 | 42 | 2017 |
| Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion Z Li, T Song, J Yong, R Kuang PLoS computational biology 17 (4), e1008218, 2021 | 22 | 2021 |
| The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning T Song, Y Wang, W Du, S Cao, Y Tian, Y Liang Journal of Bioinformatics and Computational Biology 15 (01), 1650037, 2017 | 9 | 2017 |
| Computational analysis of specific MicroRNA biomarkers for noninvasive early cancer detection T Song, Y Liang, Z Cao, W Du, Y Li BioMed Research International 2017 (1), 4680650, 2017 | 8 | 2017 |
| Path segmentation for movement trajectories with irregular sampling frequency using spacetime interpolation and densitybased spatial clustering Y Song, T Song, R Kuang Transactions in GIS 23 (3), 558-578, 2019 | 6 | 2019 |
| Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network T Song, KK Markham, Z Li, KE Muller, K Greenham, R Kuang Bioinformatics 38 (5), 1344-1352, 2022 | 5 | 2022 |
| Transcription regulation by DNA methylation under stressful conditions in human cancer S Cao, Y Zhou, Y Wu, T Song, B Alsaihati, Y Xu Quantitative Biology 5, 328-337, 2017 | 5 | 2017 |
| GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations T Song, C Broadbent, R Kuang Nature communications 14 (1), 8276, 2023 | 4 | 2023 |
| A novel unsupervised algorithm for biological process-based analysis on cancer T Song, S Cao, S Tao, S Liang, W Du, Y Liang Scientific Reports 7 (1), 4671, 2017 | 4 | 2017 |
| Machine Learning with Objective Serum Markers and Algorithmic Deep Learning Computed Tomography Scan Analysis for Classification of Brain Injury D Rafter, Z Li, T Schaaf, K Gault, M Thorpe, S Venkatesh, R Edpuganti, ... medRxiv, 2021.02. 13.21250776, 2021 | 1 | 2021 |
| Hierarchical canonical correlation analysis reveals phenotype, genotype, and geoclimate associations in plants R Petegrosso, T Song, R Kuang Plant Phenomics, 2020 | 1 | 2020 |
| Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs T Song, E Cosatto, G Wang, R Kuang, M Gerstein, MR Min, J Warrell Bioinformatics 40 (Supplement_2), ii111-ii119, 2024 | | 2024 |
| DrugAgent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoning Y Inoue, T Song, T Fu arXiv preprint arXiv:2408.13378, 2024 | | 2024 |
| Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition C Broadbent, T Song, R Kuang Bioinformatics 40 (Supplement_1), i529-i538, 2024 | | 2024 |
| Reconstructing Spatial Transcriptomes with Graph-guided Neural Tensor Decomposition Informed by Spatial and Functional Relations R Kuang, T Song, C Broadbent | | 2023 |
| FIST-nD: A tool for n-dimensional spatial transcriptomics data imputation via graph-regularized tensor completion TK Atkins, T Song, R Kuang bioRxiv, 2022.10. 12.511928, 2022 | | 2022 |
| RESEARCH ARTICLE Transcription regulation by DNA methylation S Cao, Y Zhou, Y Wu, T Song, B Alsaihati, Y Xu | | 2017 |
