Lana X. Garmire

According to our database, Lana X. Garmire authored at least 19 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski, Dhrithi Deshpande, Lynn M. Schriml, Annie Wong-Beringer, Barend Mons, Russell Corbett-Detig, Christopher I Hunter, Jason H. Moore, Lana X. Garmire, T. B. K. Reddy, Winston A. Hide, Atul J. Butte, Mark D. Robinson, Serghei Mangul

CoRR, 2024

2023

STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation.

Abdullah Karaaslanli, Ziyin Huang, Yijun Guo, Lana X. Garmire, Haodong Liang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Computational Methods for Single-cell Multi-omics Integration and Alignment.

Stefan Stanojevic, Yijun Li, Aleksandar Ristivojevic, Lana X. Garmire

Genom. Proteom. Bioinform., October, 2022

Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis.

Yijun Li, Stefan Stanojevic, Lana X. Garmire

CoRR, 2022

BML: a versatile web server for bipartite motif discovery.

Mohammad Vahed, Majid Vahed, Lana X. Garmire

Briefings Bioinform., 2022

2021

Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data.

Qianhui Huang, Yu Liu, Yuheng Du, Lana X. Garmire

Genom. Proteom. Bioinform., 2021

GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis.

David G. Garmire, Xun Zhu, Aravind Mantravadi, Qianhui Huang, Breck Yunits, Yu Liu, Thomas K. Wolfgruber, Olivier Poirion, Tianying Zhao, Cédric Arisdakessian, Stefan Stanojevic, Lana X. Garmire

Genom. Proteom. Bioinform., 2021

Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data.

Di Wang, Zheng Jing, Kevin He, Lana X. Garmire

Bioinform., 2021

2020

Network-Based Matching of Patients and Targeted Therapies for Precision Oncology.

Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction.

Zhucheng Zhan, Noshad Hossenei, Olivier Poirion, Maria Westerhoff, Eun-Young Choi, Travers Ching, Lana X. Garmire

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Session introduction.

Lana X. Garmire, Guo-Cheng Yuan, Rong Fan, Gene W. Yeo, John Quackenbush

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.

Travers Ching, Xun Zhu, Lana X. Garmire

PLoS Comput. Biol., 2018

Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA.

Travers Ching, Lana X. Garmire

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

The Training of Next Generation Data Scientists in Biomedicine.

Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2015

Using epigenomics data to predict gene expression in lung cancer.

Jeffery Li, Travers Ching, Sijia Huang, Lana X. Garmire

BMC Bioinform., 2015

Non-coding yet non-trivial: a review on the computational genomics of lincRNAs.

Travers Ching, Jayson Masaki, Jason Weirather, Lana X. Garmire

BioData Min., 2015

2014

A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer.

Sijia Huang, Cameron Yee, Travers Ching, Herbert Yu, Lana X. Garmire

PLoS Comput. Biol., 2014

2010

A Clustering Approach to Identify Intergenic Non-coding RNA in Mouse Macrophages.

Lana X. Garmire, Shankar Subramaniam, David G. Garmire, Christopher K. Glass

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2008

Peak-Finding Refinement in the Chip-SEQ Experiment.

Lana X. Garmire, David G. Garmire, Chris Benner, Pang Ko, Christopher K. Glass, Shankar Subramaniam

Proceedings of the ISCA 21st International Conference on Computer Applications in Industry and Engineering, 2008