Xinghua Lu
Orcid: 0000-0002-8599-2269Affiliations:
- University of Pittsburgh, Department of Pharmaceutical Sciences, Intelligent Systems Program, Department of Biomedical Informatics, PA, USA
According to our database1,
Xinghua Lu
authored at least 27 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2005
2010
2015
2020
0
1
2
3
4
5
6
1
2
1
3
1
2
4
1
2
1
1
1
3
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Nat. Mac. Intell., 2024
2022
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.
PLoS Comput. Biol., December, 2022
Robust and accurate estimation of cellular fraction from tissue omics data via ensemble deconvolution.
Bioinform., 2022
2020
Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks.
BMC Bioinform., 2020
From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention.
Proceedings of the Machine Learning for Healthcare Conference, 2020
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020
2019
Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference.
PLoS Comput. Biol., 2019
Integrating data and knowledge to identify functional modules of genes: a multilayer approach.
BMC Bioinform., 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
2017
BMC Bioinform., 2017
2016
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.
BMC Bioinform., 2016
An exact algorithm for finding cancer driver somatic genome alterations: the weighted mutually exclusive maximum set cover problem.
Algorithms Mol. Biol., 2016
2015
Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets.
PLoS Comput. Biol., 2015
J. Am. Medical Informatics Assoc., 2015
Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.
BMC Bioinform., 2015
Trans-species learning of cellular signaling systems with bimodal deep belief networks.
Bioinform., 2015
2014
CoRR, 2014
2013
An exact algorithm with the time complexity of $O^*(1.299^m)$ for the weighed mutually exclusive set cover problem
CoRR, 2013
Using graph model to find transcription factor modules: the hitting set problem and an exact algorithm.
Algorithms Mol. Biol., 2013
2011
Proceedings of the ACM International Conference on Bioinformatics, 2011
2008
BMC Bioinform., 2008
2006
Research Paper: Enhancing Text Categorization with Semantic-enriched Representation and Training Data Augmentation.
J. Am. Medical Informatics Assoc., 2006
2005
Proceedings of the Fourteenth Text REtrieval Conference, 2005
2004
BMC Bioinform., 2004