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Nature methods, 2017-04, Vol.14 (4), p.417
2017
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Nucleic acids research, 2019-05, Vol.47 (8), p.e47
2019
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Nature methods, 2017-04, Vol.14 (4), p.381
2017
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Nucleic acids research, 2021-01, Vol.49 (D1), p.D121
2021
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Briefings in bioinformatics, 2018-09, Vol.19 (5), p.803-810
2018
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Nature communications, 2020-03, Vol.11 (1), p.1169-9, Article 1169
2020
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Nature medicine, 2021-03, Vol.27 (3), p.546-559
- Muus, Christoph
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- Eraslan, Gökcen
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- Sullivan, Travis B
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- Tan, Peng
- Tantivit, Jessica
- Tucker, Nathan R
- Vernon, Katherine A
- Waldman, Julia
- Xu, Ke
- Yan, Wenjun
- Zhao, William
2021
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Briefings in bioinformatics, 2018-09, Vol.19 (5), p.776-792
2018
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Nature biotechnology, 2019-04, Vol.37 (4), p.451-460
2019
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Nature methods, 2011-06, Vol.8 (6), p.469
2011
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Nature methods, 2021-07, Vol.18 (7), p.723
2021
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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
2018
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RNA (Cambridge), 2010-05, Vol.16 (5), p.991-1006
2010
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Journal of hepatology, 2021-11, Vol.75 (5), p.1128-1141
- Zhang, Yijian
- Zuo, Chunman
- Liu, Liguo
- Hu, Yunping
- Yang, Bo
- Qiu, Shimei
- Li, Yang
- Cao, Dongyan
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- Wang, Congjun
- Li, Qiyun
- Wu, Xiangsong
- Gong, Wei
- Liu, Yun
- Shao, Rong
- Liu, Fatao
- Li, Maolan
- Chen, Luonan
- Liu, Yingbin
2021
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Nature communications, 2020-02, Vol.11 (1), p.774-774, Article 774
2020
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Biostatistics (Oxford, England), 2012-04, Vol.13 (2), p.204-216
2012
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PloS one, 2013-07, Vol.8 (7), p.e67019-e67019
2013
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Nature methods, 2008-07, Vol.5 (7), p.621-628
2008
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Nature communications, 2020-06, Vol.11 (1), p.3155-3155, Article 3155
2020
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Nature methods, 2015-10, Vol.12 (10), p.947
2015
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Nature genetics, 2015-11, Vol.47 (11), p.1242-1248
2015
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Nature communications, 2022-01, Vol.13 (1), p.192-192, Article 192
2022
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Nucleic acids research, 2019-09, Vol.47 (16), p.e95
2019
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Nucleic acids research, 2020-01, Vol.48 (1), p.86
2020
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Neuron (Cambridge, Mass.), 2020-03, Vol.105 (6), p.1027-1035.e2
2020
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