Xu Steven

Orcid: 0000-0001-6997-5533

Affiliations:
  • Genmab US Inc., Princeton, NJ, USA


According to our database1, Xu Steven authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MESBC: A novel mutually exclusive spectral biclustering method for cancer subtyping.
Comput. Biol. Chem., 2024

2023
GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response.
J. Chem. Inf. Model., December, 2023

A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.
Comput. Medical Imaging Graph., April, 2023

CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture.
CoRR, 2023

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines.
CoRR, 2023

2022
Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning.
Entropy, November, 2022

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.
CoRR, 2022

Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering.
CoRR, 2022

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model.
CoRR, 2022

Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data.
Comput. Biol. Chem., 2022

2021
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer.
CoRR, 2021

SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling.
Briefings Bioinform., 2021

2020
Adaptive weighted sum tests via LASSO method in multi-locus family-based association analysis.
Comput. Biol. Chem., 2020

High-throughput and efficient multilocus genome-wide association study on longitudinal outcomes.
Bioinform., 2020


  Loading...