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Travers Ching
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2020 – today
- 2020
- [c2]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
2010 – 2019
- 2018
- [j5]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) - [j4]Travers Ching, Dirk Eddelbuettel:
RcppMsgPack: MessagePack Headers and Interface Functions for R. R J. 10(2): 516 (2018) - [c1]Travers Ching, Lana X. Garmire:
Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA. PSB 2018: 512-523 - 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)
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