Yang Young Lu

According to our database, Yang Young Lu authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Error-controlled non-additive interaction discovery in machine learning models.

Winston Chen, Yifan Jiang, William Stafford Noble, Yang Young Lu

CoRR, 2024

2023

DeepROCK: Error-controlled interaction detection in deep neural networks.

Winston Chen, William Stafford Noble, Yang Young Lu

CoRR, 2023

2022

Metric learning for comparing genomic data with triplet network.

Zhi Ma, Yang Young Lu, Yiwen Wang, Renhao Lin, Zizi Yang, Fang Zhang, Ying Wang

Briefings Bioinform., 2022

2021

CRAFT: Compact genome Representation toward large-scale Alignment-Free daTabase.

Yang Young Lu, Jiaxing Bai, Yiwen Wang, Ying Wang, Fengzhu Sun

Bioinform., 2021

DIAmeter: matching peptides to data-independent acquisition mass spectrometry data.

Yang Young Lu, Jeff A. Bilmes, Ricard A. Rodriguez-Mias, Judit Villén, William Stafford Noble

Bioinform., 2021

ACE: Explaining cluster from an adversarial perspective.

Yang Young Lu, Timothy C. Yu, Giancarlo Bonora, William Stafford Noble

Proceedings of the 38th International Conference on Machine Learning, 2021

DANCE: Enhancing saliency maps using decoys.

Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features.

David F. Read, Kate Cook, Yang Young Lu, Karine G. Le Roch, William Stafford Noble

PLoS Comput. Biol., 2019

SolidBin: improving metagenome binning with semi-supervised normalized cut.

Ziye Wang, Zhengyang Wang, Yang Young Lu, Fengzhu Sun, Shanfeng Zhu

Bioinform., 2019

2018

DeepPINK: reproducible feature selection in deep neural networks.

Yang Young Lu, Yingying Fan, Jinchi Lv, William Stafford Noble

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

CAFE: aCcelerated Alignment-FrEe sequence analysis.

Yang Young Lu, Kujin Tang, Jie Ren, Jed A. Fuhrman, Michael S. Waterman, Fengzhu Sun

Nucleic Acids Res., 2017

Improving contig binning of metagenomic data using (d₂^S) oligonucleotide frequency dissimilarity.

Ying Wang, Kun Wang, Yang Young Lu, Fengzhu Sun

BMC Bioinform., 2017

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.

Yang Young Lu, Ting Chen, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2017