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- affiliation: Genmab US Inc., Princeton, NJ, USA
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Journal Articles
- 2023
[j8]Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang
, Xu Steven Xu:
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. Comput. Medical Imaging Graph. 105: 102189 (2023)- [j7]Minghua Zhao, Steven X. Xu, Yaning Yang, Min Yuan:
GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response. J. Chem. Inf. Model. 63(23): 7557-7567 (2023) - [j6]Minghua Zhao, Min Yuan, Yaning Yang, Steven X. Xu:
CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1935-1942 (2023) - 2022
- [j5]Yi Li, Yaning Yang, Xu Steven Xu, Min Yuan, Alzheimer's Disease Neuroimaging Initiative:
Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data. Comput. Biol. Chem. 99: 107697 (2022) - [j4]Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven:
Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning. Entropy 24(11): 1669 (2022) - 2021
- [j3]Min Yuan, Xu Steven Xu, Yaning Yang, Yinsheng Zhou, Yi Li, Jinfeng Xu, Jose Pinheiro:
SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling. Briefings Bioinform. 22(3) (2021) - 2020
- [j2]Huang Xu, Xiang Li, Yaning Yang, Yi Li, Jose Pinheiro, Kate Sasser, Hisham Hamadeh, Xu Steven, Min Yuan:
High-throughput and efficient multilocus genome-wide association study on longitudinal outcomes. Bioinform. 36(10): 3004-3010 (2020) - [j1]Rui Liu, Min Yuan, Huang Xu, Pinzhong Chen, Xu Steven Xu, Yaning Yang:
Adaptive weighted sum tests via LASSO method in multi-locus family-based association analysis. Comput. Biol. Chem. 88: 107320 (2020)
Informal and Other Publications
- 2023
- [i8]Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu:
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. CoRR abs/2302.10406 (2023) - [i7]Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu:
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. CoRR abs/2305.01968 (2023) - 2022
- [i6]Xingyu Li, Min Cen, Jinfeng Xu, Hong Zhang, Xu Steven Xu:
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model. CoRR abs/2201.00636 (2022) - [i5]Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu:
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering. CoRR abs/2204.01593 (2022) - [i4]Xingyu Li, Jitendra Jonnagaddala, Min Cen, Hong Zhang, Xu Steven Xu:
Colorectal cancer survival prediction using deep distribution based multiple-instance learning. CoRR abs/2204.11294 (2022) - [i3]Bangwei Guo, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu:
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. CoRR abs/2206.00455 (2022) - [i2]Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu:
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. CoRR abs/2208.10495 (2022) - 2021
- [i1]Xingyu Li, Jitendra Jonnagaddala, Shuhua Yang, Hong Zhang, Xu Steven Xu:
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer. CoRR abs/2111.03532 (2021)
Coauthor Index
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