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Deep learning in bioinformatics: introduction, application, and
  perspective in big data era

Deep learning in bioinformatics: introduction, application, and perspective in big data era

28 February 2019
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
    AI4CE
ArXivPDFHTML

Papers citing "Deep learning in bioinformatics: introduction, application, and perspective in big data era"

14 / 14 papers shown
Title
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
42
2
0
06 Sep 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuan-Qi Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
46
6
0
06 Jul 2023
Random vector functional link network: recent developments,
  applications, and future directions
Random vector functional link network: recent developments, applications, and future directions
Anil Kumar Malik
Ruobin Gao
M. A. Ganaie
M. Tanveer
Ponnuthurai Nagaratnam Suganthan
22
105
0
13 Feb 2022
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics
  Alignment and Integration
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration
Xuesong Wang
Zhihang Hu
Tingyang Yu
Ruijie Wang
Yumeng Wei
Juan Shu
Jianzhu Ma
Yu Li
18
4
0
05 Dec 2021
CLMB: deep contrastive learning for robust metagenomic binning
CLMB: deep contrastive learning for robust metagenomic binning
Pengfei Zhang
Zhengyuan Jiang
Yixuan Wang
Yu Li
33
11
0
18 Nov 2021
Nonlinear Tensor Ring Network
Nonlinear Tensor Ring Network
Xiao Peng Li
Qi Liu
Hayden Kwok-Hay So
19
0
0
12 Nov 2021
Leveraging the Graph Structure of Neural Network Training Dynamics
Leveraging the Graph Structure of Neural Network Training Dynamics
Fatemeh Vahedian
Ruiyu Li
Puja Trivedi
Di Jin
Danai Koutra
AI4CE
GNN
23
3
0
09 Nov 2021
AI challenges for predicting the impact of mutations on protein
  stability
AI challenges for predicting the impact of mutations on protein stability
F. Pucci
Martin Schwersensky
M. Rooman
27
1
0
08 Nov 2021
Protein-RNA interaction prediction with deep learning: Structure matters
Protein-RNA interaction prediction with deep learning: Structure matters
Junkang Wei
Siyuan Chen
Licheng Zong
Xin Gao
Yu Li
AI4CE
22
55
0
26 Jul 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
29
30
0
13 Apr 2021
Physics-Informed Machine Learning Simulator for Wildfire Propagation
Physics-Informed Machine Learning Simulator for Wildfire Propagation
L. Bottero
Francesco Calisto
Giovanni Graziano
Valerio Pagliarino
Martina Scauda
Sara Tiengo
Simone Azeglio
14
7
0
12 Dec 2020
Deep Learning in Protein Structural Modeling and Design
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao
S. Mahajan
Jeremias Sulam
Jeffrey J. Gray
29
159
0
16 Jul 2020
TensorLayer: A Versatile Library for Efficient Deep Learning Development
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong
A. Supratak
Luo Mai
Fangde Liu
A. Oehmichen
Simiao Yu
Yike Guo
59
114
0
26 Jul 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
328
10,621
0
19 Feb 2017
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