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Lana X. Garmire
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Journal Articles
- 2022
- [j9]Mohammad Vahed
, Majid Vahed, Lana X. Garmire:
BML: a versatile web server for bipartite motif discovery. Briefings Bioinform. 23(1) (2022) - [j8]Stefan Stanojevic
, Yijun Li
, Aleksandar Ristivojevic
, Lana X. Garmire
:
Computational Methods for Single-cell Multi-omics Integration and Alignment. Genom. Proteom. Bioinform. 20(5): 836-849 (2022) - 2021
- [j7]Di Wang, Zheng Jing
, Kevin He, Lana X. Garmire
:
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data. Bioinform. 37(17): 2772-2774 (2021) - [j6]Qianhui Huang
, Yu Liu
, Yuheng Du
, Lana X. Garmire
:
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data. Genom. Proteom. Bioinform. 19(2): 267-281 (2021) - [j5]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
:
GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis. Genom. Proteom. Bioinform. 19(3): 452-460 (2021) - 2018
- [j4]Travers Ching, Xun Zhu, Lana X. Garmire
:
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. PLoS Comput. Biol. 14(4) (2018) - 2015
- [j3]Travers Ching, Jayson Masaki, Jason Weirather, Lana X. Garmire:
Non-coding yet non-trivial: a review on the computational genomics of lincRNAs. BioData Min. 8: 44 (2015) - [j2]Jeffery Li, Travers Ching, Sijia Huang, Lana X. Garmire:
Using epigenomics data to predict gene expression in lung cancer. BMC Bioinform. 16(S-5): S10 (2015) - 2014
- [j1]Sijia Huang, Cameron Yee, Travers Ching, Herbert Yu, Lana X. Garmire:
A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer. PLoS Comput. Biol. 10(9) (2014)
Conference and Workshop Papers
- 2023
- [c8]Abdullah Karaaslanli, Ziyin Huang, Yijun Guo, Lana X. Garmire, Haodong Liang:
STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation. BIBM 2023: 2737-2740 - 2020
- [c7]Zhucheng Zhan, Noshad Hossenei, Olivier Poirion, Maria Westerhoff, Eun-Young Choi, Travers Ching, Lana X. Garmire:
Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction. BIOINFORMATICS 2020: 296-301 - [c6]Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani:
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology. PSB 2020: 623-634 - 2019
- [c5]Lana X. Garmire, Guo-Cheng Yuan, Rong Fan, Gene W. Yeo, John Quackenbush:
Session introduction. PSB 2019: 332-337 - 2018
- [c4]Travers Ching, Lana X. Garmire:
Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA. PSB 2018: 512-523 - 2017
- [c3]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:
The Training of Next Generation Data Scientists in Biomedicine. PSB 2017: 640-645 - 2010
- [c2]Lana X. Garmire, Shankar Subramaniam, David G. Garmire, Christopher K. Glass:
A Clustering Approach to Identify Intergenic Non-coding RNA in Mouse Macrophages. BIBE 2010: 1-6 - 2008
- [c1]Lana X. Garmire, David G. Garmire, Chris Benner, Pang Ko, Christopher K. Glass, Shankar Subramaniam:
Peak-Finding Refinement in the Chip-SEQ Experiment. CAINE 2008: 20-25
Informal and Other Publications
- 2024
- [i2]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:
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies. CoRR abs/2401.02965 (2024) - 2022
- [i1]Yijun Li, Stefan Stanojevic, Lana X. Garmire:
Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis. CoRR abs/2203.09664 (2022)
Coauthor Index
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