Xia Ning

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Mass Spectrometry

Machine Learning

Clinical Decision Support

Top Venues

Journal of chemical information and modeling

IEEE transactions on knowledge and data engineering

NPJ precision oncology

This page only lists publications with an associated author ORCID identifier.

Publications

Patrick J Lawrence, Benjamin Burns, Xia Ning
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization. NPJ precision oncology 8 (1) (2024)
Vishal Dey, Xia Ning
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. Journal of chemical information and modeling 64 (10) (2024)
Frazier N Baker, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion. Journal of chemical information and modeling (2024)
Patrick J Lawrence, Benjamin Burns, Xia Ning
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization. NPJ precision oncology 8 (1) (2024)
Vishal Dey, Xia Ning
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. Journal of chemical information and modeling 64 (10) (2024)
Vishal Dey, Xia Ning
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. Journal of chemical information and modeling (2024)
Patrick J Lawrence, Benjamin Burns, Xia Ning
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization. NPJ precision oncology 8 (1) (2024)
Vishal Dey, Xia Ning
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. Journal of chemical information and modeling 64 (10) (2024)
Nader Zidan, Vishal Dey, Katie S Allen, John Price, Sarah Renee Zappone, Courtney Hebert, Titus Schleyer, Xia Ning
Understanding comorbidities and health disparities related to COVID-19: a comprehensive study of 776 936 cases and 1 362 545 controls in the state of Indiana, USA. JAMIA open 6 (1) (2023)
Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min
Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinformatics (Oxford, England) 39 (2) (2023)
Ziqi Chen, Oluwatosin R Ayinde, Joanna E Burdette, Huan Sun, Xia Ning
G 2 Retro as a two-step graph generative models for retrosynthesis prediction. Communications chemistry 6 (1) (2023)
Nader Zidan, Vishal Dey, Katie S Allen, John Price, Sarah Renee Zappone, Courtney Hebert, Titus Schleyer, Xia Ning
Understanding comorbidities and health disparities related to COVID-19: a comprehensive study of 776 936 cases and 1 362 545 controls in the state of Indiana, USA. JAMIA open 6 (1) (2023)
Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min
Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinformatics (Oxford, England) 39 (2) (2023)
Vishal Dey, Raghu Machiraju, Xia Ning
Improving Compound Activity Classification via Deep Transfer and Representation Learning. ACS omega 7 (11) (2022)
Wenrong Chen, Elijah N McCool, Liangliang Sun, Yong Zang, Xia Ning, Xiaowen Liu
Evaluation of Machine Learning Models for Proteoform Retention and Migration Time Prediction in Top-Down Mass Spectrometry. Journal of proteome research 21 (7) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Vishal Dey, Peter J Krasniak, Minh Nguyen, Clara N Lee, Xia Ning
A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR medical informatics 9 (11) (2021)
Xia Ning, Ziwei Fan, Evan Burgun, Zhiyun Ren, Titus K Schleyer
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. PloS one 16 (8) (2021)
Lei Wang, Aditi Shendre, Chien-Wei Chiang, Weidan Cao, Xia Ning, Ping Zhang, Pengyue Zhang, Lang Li
A pharmacovigilance study of pharmacokinetic drug interactions using a translational informatics discovery approach. British journal of clinical pharmacology (2021)
Bo Peng, Xiaohui Yao, Shannon L Risacher, Andrew J Saykin, Li Shen, Xia Ning, null null
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data. BMC medical informatics and decision making 20 (1) (2020)
Wen-Hao Chiang, Titus Schleyer, Li Shen, Lang Li, Xia Ning
Pattern Discovery from High-Order Drug-Drug Interaction Relations. Journal of healthcare informatics research 2 (3) (2018)
Junfeng Liu, Xia Ning
Differential Compound Prioritization via Bidirectional Selectivity Push with Power. Journal of chemical information and modeling 57 (12) (2017)
Junfeng Liu, Xia Ning
Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework. Journal of chemical information and modeling 57 (3) (2017)