E-LIB Suche - Ergebnisse für: Lu, Yang Young

1

Leveraging machine learning for taxonomic classification of..:

Alipour, Fatemeh ; Holmes, Connor ; Lu, Yang Young..
Frontiers in Molecular Biosciences. 10 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

2

Metric learning for comparing genomic data with triplet net..:

Ma, Zhi ; Lu, Yang Young ; Wang, Yiwen...
Briefings in Bioinformatics. 23 (2022) 5 - p. , 2022

Link: https://doi.org/10.1093/..

3

A wider field of view to predict expression:

Lu, Yang Young ; Noble, William Stafford
Nature Methods. 18 (2021) 10 - p. 1155-1156 , 2021

Link: https://doi.org/10.1038/..

4

Background Adjusted Alignment-Free Dissimilarity Measures I..:

Tang, Kujin ; Lu, Yang Young ; Sun, Fengzhu
Frontiers in Microbiology. 9 (2018) - p. , 2018

Link: https://doi.org/10.3389/..

5

CAFE: aCcelerated Alignment-FrEe sequence analysis:

Lu, Yang Young ; Tang, Kujin ; Ren, Jie...
Nucleic Acids Research. 45 (2017) W1 - p. W554-W559 , 2017

Link: https://doi.org/10.1093/..

6

Alignment-free $d_2^*$ oligonucleotide frequency dissimilar..:

Ahlgren, Nathan A ; Ren, Jie ; Lu, Yang Young..
Nucleic Acids Research. 45 (2016) 1 - p. 39-53 , 2016

Link: https://doi.org/10.1093/..

7

Leveraging machine learning for taxonomic classification of..:

Alipour, Fatemeh ; Holmes, Connor ; Lu, Yang Young..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10808839/. , 2024

Link: http://www.ncbi.nlm.nih...

8

DeepROCK: Error-controlled interaction detection in deep ne..:

Chen, Winston ; Noble, William Stafford ; Lu, Yang Young
http://arxiv.org/abs/2309.15319. , 2023

Link: http://arxiv.org/abs/230..

9

Alignment-Free Sequence Analysis and Applications:

Ren, Jie ; Bai, Xin ; Lu, Yang Young...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905628/. , 2018

Link: http://www.ncbi.nlm.nih...

10

Alignment-Free Sequence Analysis and Applications:

Ren, Jie ; Bai, Xin ; Lu, Yang Young...
http://arxiv.org/abs/1803.09727. , 2018

Link: http://arxiv.org/abs/180..

11

DeepPINK: reproducible feature selection in deep neural net..:

Lu, Yang Young ; Fan, Yingying ; Lv, Jinchi.
http://arxiv.org/abs/1809.01185. , 2018

Link: http://arxiv.org/abs/180..

12

Improving contig binning of metagenomic data using d2S olig..:

Wang Ying ; Wang Kun ; LU Yang Young.
https://github.com/kunWangkun/d2SBin/tree/v1.0.0. , 2018

Link: https://zenodo.org/recor..

13

CAFE: aCcelerated Alignment-FrEe sequence analysis:

Lu, Yang Young ; Tang, Kujin ; Ren, Jie...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793812/. , 2017

Link: http://www.ncbi.nlm.nih...

14

COCACOLA: binning metagenomic contigs using sequence COmpos..:

Lu, Yang Young ; Chen, Ting ; Fuhrman, Jed A.
http://arxiv.org/abs/1604.02512. , 2016

Link: http://arxiv.org/abs/160..

15

A Practical Taxonomy of TAS-related Usecase Scenarios:

, In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems,

Masters, Peta ; Young, Victoria ; Chamberlain, Alan... - p. 1-6 , 2023

Link: https://dl.acm.org/doi/1..