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Author search results
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- Jing Li 0002
Case Western Reserve University Cleveland, Computational Biology Lab
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Publication search results
found 64 matches
- 2023
- Yige Sun, Jing Li, Yifan Xu, Tingting Zhang, Xiaofeng Wang:
Deep learning versus conventional methods for missing data imputation: A review and comparative study. Expert Syst. Appl. 227: 120201 (2023) - 2022
- Guanqun Zhang, Shuai Xu, Jing Li, Alan J. X. Guo:
Group-based network pruning via nonlinear relationship between convolution filters. Appl. Intell. 52(8): 9274-9288 (2022) - 2020
- Huiyuan Chen, Feixiong Cheng, Jing Li:
iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding. PLoS Comput. Biol. 16(7) (2020) - Huiyuan Chen, Jing Li:
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems. IJCAI 2020: 2449-2455 - Huiyuan Chen, Jing Li:
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network. IJCAI 2020: 3452-3458 - 2019
- Huiyuan Chen, Sudha K. Iyengar, Jing Li:
Large-scale Analysis of Drug Combinations by Integrating Multiple Heterogeneous Information Networks. BCB 2019: 67-76 - Huiyuan Chen, Jing Li:
Finding Stable Clustering for Noisy Data via Structure-Aware Representation. IEEE BigData 2019: 46-55 - Huiyuan Chen, Jing Li:
Collaborative Ranking Tags and Items via Cross-domain Recommendation. IEEE BigData 2019: 721-730 - Huiyuan Chen, Jing Li:
Collective Tensor Completion with Multiple Heterogeneous Side Information. IEEE BigData 2019: 731-740 - Huiyuan Chen, Jing Li:
Data Poisoning Attacks on Cross-domain Recommendation. CIKM 2019: 2177-2180 - Huiyuan Chen, Jing Li:
Adversarial tensor factorization for context-aware recommendation. RecSys 2019: 363-367 - Huiyuan Chen, Jing Li:
Modeling Relational Drug-Target-Disease Interactions via Tensor Factorization with Multiple Web Sources. WWW 2019: 218-227 - 2018
- Shanping Qiao, Baoqiang Yan, Jing Li:
Ensemble learning for protein multiplex subcellular localization prediction based on weighted KNN with different features. Appl. Intell. 48(7): 1813-1824 (2018) - Huiyuan Chen, Jing Li:
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction. CIKM 2018: 427-436 - Huiyuan Chen, Jing Li:
DrugCom: Synergistic Discovery of Drug Combinations Using Tensor Decomposition. ICDM 2018: 899-904 - Amarda Shehu, Cathy H. Wu, Christina Boucher, Jing Li, Hongfang Liu, Mihai Pop:
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2018, Washington, DC, USA, August 29 - September 01, 2018. ACM 2018 [contents] - 2017
- Huiyuan Chen, Jing Li:
A Flexible and Robust Multi-Source Learning Algorithm for Drug Repositioning. BCB 2017: 510-515 - Huiyuan Chen, Jing Li:
Learning Multiple Similarities of Users and Items in Recommender Systems. ICDM 2017: 811-816 - 2015
- Ke Hu, Angela Ting, Jing Li:
BSPAT: a fast online tool for DNA methylation co-occurrence pattern analysis based on high-throughput bisulfite sequencing data. BMC Bioinform. 16: 220:1-220:9 (2015) - Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang:
Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. 8(7): 798-809 (2015) - 2014
- Wenhui Wang, Sen Yang, Xiang Zhang, Jing Li:
Drug repositioning by integrating target information through a heterogeneous network model. Bioinform. 30(20): 2923-2930 (2014) - 2013
- Wenhui Wang, Xiaolin Yin, Yoon Soo Pyon, Matthew Hayes, Jing Li:
Rare variant discovery and calling by sequencing pooled samples with overlaps. Bioinform. 29(1): 29-38 (2013) - Matthew Hayes, Jing Li:
Bellerophon: a hybrid method for detecting interchromo-somal rearrangements at base pair resolution using next-generation sequencing data. BMC Bioinform. 14(S-5): S6 (2013) - 2012
- Minzhu Xie, Jing Li, Tao Jiang:
Detecting genome-wide epistases based on the clustering of relatively frequent items. Bioinform. 28(1): 5-12 (2012) - Yixuan Chen, Jing Li:
Generation of Synthetic Data and Experimental Designs in Evaluating Interactions for Association Studies. J. Bioinform. Comput. Biol. 10(1) (2012) - Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang:
Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB 2012: 466-473 - Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng:
Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse. BCB 2012: 297-304 - Amin Assareh, L. Gwenn Volkert, Jing Li:
Feature selections using AdaBoost: Application in gene-gene interaction detection. BIBM Workshops 2012: 831-837 - Amin Assareh, L. Gwenn Volkert, Jing Li:
Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections. ICMLA (1) 2012: 616-621 - 2011
- Jing Li, Benjamin Horstman, Yixuan Chen:
Detecting epistatic effects in association studies at a genomic level based on an ensemble approach. Bioinform. 27(13): 222-229 (2011)
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