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Yang Young Lu
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2020 – today
- 2024
- [i3]Winston Chen, Yifan Jiang, William Stafford Noble, Yang Young Lu:
Error-controlled non-additive interaction discovery in machine learning models. CoRR abs/2408.17016 (2024) - 2023
- [i2]Winston Chen, William Stafford Noble, Yang Young Lu:
DeepROCK: Error-controlled interaction detection in deep neural networks. CoRR abs/2309.15319 (2023) - 2022
- [j8]Zhi Ma, Yang Young Lu, Yiwen Wang, Renhao Lin, Zizi Yang, Fang Zhang, Ying Wang
:
Metric learning for comparing genomic data with triplet network. Briefings Bioinform. 23(5) (2022) - 2021
- [j7]Yang Young Lu, Jiaxing Bai, Yiwen Wang, Ying Wang
CRAFT: Compact genome Representation toward large-scale Alignment-Free daTabase. Bioinform. 37(2): 155-161 (2021) - [j6]Yang Young Lu, Jeff A. Bilmes, Ricard A. Rodriguez-Mias, Judit Villén, William Stafford Noble:
DIAmeter: matching peptides to data-independent acquisition mass spectrometry data. Bioinform. 37(Supplement): 434-432 (2021) - [c3]Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble:
DANCE: Enhancing saliency maps using decoys. ICML 2021: 7124-7133 - [c2]Yang Young Lu, Timothy C. Yu, Giancarlo Bonora, William Stafford Noble:
ACE: Explaining cluster from an adversarial perspective. ICML 2021: 7156-7167
2010 – 2019
- 2019
- [j5]Ziye Wang, Zhengyang Wang, Yang Young Lu, Fengzhu Sun, Shanfeng Zhu
SolidBin: improving metagenome binning with semi-supervised normalized cut. Bioinform. 35(21): 4229-4238 (2019) - [j4]David F. Read
Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. PLoS Comput. Biol. 15(9) (2019) - 2018
- [c1]Yang Young Lu, Yingying Fan, Jinchi Lv, William Stafford Noble:
DeepPINK: reproducible feature selection in deep neural networks. NeurIPS 2018: 8690-8700 - [i1]Yang Young Lu, Yingying Fan, Jinchi Lv, William Stafford Noble:
DeepPINK: reproducible feature selection in deep neural networks. CoRR abs/1809.01185 (2018) - 2017
- [j3]Yang Young Lu, Ting Chen, Jed A. Fuhrman
COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge. Bioinform. 33(6): 791-798 (2017) - [j2]Ying Wang
Improving contig binning of metagenomic data using (d2S) oligonucleotide frequency dissimilarity. BMC Bioinform. 18(1): 425:1-425:14 (2017) - [j1]Yang Young Lu, Kujin Tang, Jie Ren, Jed A. Fuhrman
CAFE: aCcelerated Alignment-FrEe sequence analysis. Nucleic Acids Res. 45(Webserver-Issue): W554-W559 (2017)
Coauthor Index
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last updated on 2024-09-30 00:08 CEST by the dblp team
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