π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing
X
Xiang Zhang
T
Tianze Ling
Z
Zhi Jin
S
Sheng Xu
Z
Zhiqiang Gao
B
Boyan Sun
Z
Zijie Qiu
(School of Science and Engineering, Guangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology)
J
Jiaqi Wei
(Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore)
N
Nanqing Dong
G
Guangshuai Wang
G
Guibin Wang
L
Leyuan Li
M
Muhammad Abdul-Mageed
L
Laks V. S. Lakshmanan
F
Fuchu He
W
Wanli Ouyang
C
Cheng Chang
S
Siqi Sun
Article Details
Journal
Nature Communications
Volume / Issue
Vol. 16, Issue 1
Published
January 02, 2025
ISSN
2041-1723
Publisher
Nature Portfolio
Authors (18)
X
Xiang Zhang
T
Tianze Ling
Z
Zhi Jin
S
Sheng Xu
Z
Zhiqiang Gao
B
Boyan Sun
Z
Zijie Qiu
School of Science and Engineering, Guangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology
J
Jiaqi Wei
Innovative Centre for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore
N
Nanqing Dong
G
Guangshuai Wang
G
Guibin Wang
L
Leyuan Li
M
Muhammad Abdul-Mageed
L
Laks V. S. Lakshmanan
F
Fuchu He
W
Wanli Ouyang
C
Cheng Chang
S
Siqi Sun
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