Liangqun Lu (Lana X Garmire)

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Dna Methylation

Low Birth Weight

Top Venues

Molecular cancer research : MCR

NAR genomics and bioinformatics

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

Publications

Yile Chen, Bing He, Yu Liu, Max T Aung, Zaira Rosario-Pabón, Carmen M Vélez-Vega, Akram Alshawabkeh, José F Cordero, John D Meeker, Liangqun Lu
Maternal plasma lipids are involved in the pathogenesis of preterm birth. GigaScience 11 (2022)
Zhucheng Zhan, Zheng Jing, Bing He, Noshad Hosseini, Maria Westerhoff, Eun-Young Choi, Liangqun Lu
Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and transcriptomic data. NAR genomics and bioinformatics 3 (1) (2021)
Jacqueline Olender, Bi-Dar Wang, Travers Ching, Liangqun Lu, Kaitlin Garofano, Youngmi Ji, Tessa Knox, Patricia S Latham, Kenneth Nguyen, Johng Rhim, Norman H Lee
A Novel FGFR3 Splice Variant Preferentially Expressed in African American Prostate Cancer Drives Aggressive Phenotypes and Docetaxel Resistance. Molecular cancer research : MCR 17 (10) (2019)
Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Liangqun Lu
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data. Genome biology 20 (1) (2019)
Kumardeep Chaudhary, Olivier B Poirion, Liangqun Lu, Sijia Huang, Travers Ching
Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes. Clinical cancer research : an official journal of the American Association for Cancer Research 25 (2) (2018)
Travers Ching, Xun Zhu, Liangqun Lu
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. PLoS computational biology 14 (4) (2018)