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1705.05919
Cited By
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier
15 May 2017
Maxat Kulmanov
Mohammed Asif Khan
Robert Hoehndorf
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Papers citing
"DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier"
29 / 29 papers shown
Title
Transformers trained on proteins can learn to attend to Euclidean distance
Isaac Ellmen
Constantin Schneider
Matthew I.J. Raybould
Charlotte M. Deane
88
0
0
03 Feb 2025
Informed deep hierarchical classification: a non-standard analysis inspired approach
Lorenzo Fiaschi
Marco Cococcioni
46
0
0
25 Sep 2024
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
Shania Mitra
Lei Huang
Manolis Kellis
ViT
21
0
0
01 Sep 2024
Clustering for Protein Representation Learning
Ruijie Quan
Wenguan Wang
Fan Ma
Hehe Fan
Yi Yang
56
5
0
30 Mar 2024
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
Zuobai Zhang
Jiarui Lu
Vijil Chenthamarakshan
Aurélie C. Lozano
Payel Das
Jian Tang
31
1
0
10 Feb 2024
VALUED -- Vision and Logical Understanding Evaluation Dataset
Soumadeep Saha
Saptarshi Saha
Utpal Garain
33
0
0
21 Nov 2023
Insights Into the Inner Workings of Transformer Models for Protein Function Prediction
M. Wenzel
Erik Grüner
Nils Strodthoff
ViT
43
8
0
07 Sep 2023
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
Zihao Li
Changkun Jiang
Jianqiang Li
14
6
0
24 Jul 2023
A Review of Deep Learning Techniques for Protein Function Prediction
Divyanshu Aggarwal
Y. Hasija
24
1
0
27 Oct 2022
Isoform Function Prediction Using a Deep Neural Network
Sara Ghazanfari
Ali Rasteh
S. Motahari
M. Baghshah
29
0
0
05 Aug 2022
Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks
Anowarul Kabir
Amarda Shehu
ViT
40
3
0
17 Jun 2022
Deep Learning with Logical Constraints
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAI
AI4CE
44
61
0
01 May 2022
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction
Kyudam Choi
Yurim Lee
Cheongwon Kim
MinSung Yoon
21
7
0
06 Dec 2021
Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction
Wei-Cheng Tseng
Po-Han Chi
Jiahong Wu
Min Sun
24
0
0
01 Dec 2021
An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures
Nishanth Anandanadarajah
Chee-Hung Henry Chu
R. Loganantharaj
38
2
0
17 May 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
54
43
0
24 Mar 2021
Cyberbiosecurity: DNA Injection Attack in Synthetic Biology
Dor Farbiash
Rami Puzis
AAML
9
7
0
28 Nov 2020
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
51
96
0
20 Oct 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Pedro Hermosilla
M. Schäfer
Matěj Lang
Gloria Fackelmann
Pere-Pau Vázquez
Barbora Kozlíková
M. Krone
Tobias Ritschel
Timo Ropinski
33
2
0
13 Jul 2020
Enzyme promiscuity prediction using hierarchy-informed multi-label classification
Gian Marco Visani
M. C. Hughes
S. Hassoun
22
2
0
18 Feb 2020
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Sadaf Gull
F. Minhas
34
10
0
28 Oct 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue
Zhen Wang
Jingong Huang
Srinivasan Parthasarathy
Soheil Moosavinasab
Yungui Huang
S. Lin
Wen Zhang
Ping Zhang
Huan Sun
GNN
21
325
0
12 Jun 2019
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models
E. Steinberg
Peter J. Liu
NoLa
29
4
0
28 May 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
29
296
0
28 Feb 2019
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences
Ashish Ranjan
M. S. Fahad
David Fernández-Baca
A. Deepak
Sudhakar Tripathi
27
23
0
04 Nov 2018
DEEPGONET: Multi-label Prediction of GO Annotation for Protein from Sequence Using Cascaded Convolutional and Recurrent Network
S. M. S. Islam
Md Golam Moula Mehedi Hasan
28
2
0
31 Oct 2018
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
Marinka Zitnik
Francis Nguyen
Bo Wang
J. Leskovec
Anna Goldenberg
Michael M. Hoffman
LM&MA
AI4CE
16
457
0
30 Jun 2018
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction
F. Z. Smaili
Xin Gao
Robert Hoehndorf
23
142
0
29 Apr 2018
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network
Renzhi Cao
Colton Freitas
Leong Chan
Miao Sun
Haiqing Jiang
Zhangxin Chen
30
169
0
19 Oct 2017
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