Identification of all-against-all protein–protein interactions based on deep hash learning
出版年份 2022 全文链接
标题
Identification of all-against-all protein–protein interactions based on deep hash learning
作者
关键词
-
出版物
BMC BIOINFORMATICS
Volume 23, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-07-08
DOI
10.1186/s12859-022-04811-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
- (2020) Melanie Fachet et al. BMC BIOINFORMATICS
- Amino acid encoding for deep learning applications
- (2020) Hesham ElAbd et al. BMC BIOINFORMATICS
- PPI-Detect: A support vector machine model for sequence-based prediction of protein-protein interactions
- (2019) Sandra Romero-Molina et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- DNN-PPI: A LARGE-SCALE PREDICTION OF PROTEIN–PROTEIN INTERACTIONS BASED ON DEEP NEURAL NETWORKS
- (2019) YUANMIAO GUI et al. JOURNAL OF BIOLOGICAL SYSTEMS
- Machine-learning techniques for the prediction of protein–protein interactions
- (2019) Debasree Sarkar et al. JOURNAL OF BIOSCIENCES
- Completing sparse and disconnected protein-protein network by deep learning
- (2018) Lei Huang et al. BMC BIOINFORMATICS
- Improving prediction of heterodimeric protein complexes using combination with pairwise kernel
- (2018) Peiying Ruan et al. BMC BIOINFORMATICS
- Discovering cellular protein-protein interactions: Technological strategies and opportunities
- (2018) Kevin Titeca et al. MASS SPECTROMETRY REVIEWS
- Feature-Based and String-Based Models for Predicting RNA-Protein Interaction
- (2018) Donald Adjeroh et al. MOLECULES
- LMDIPred: A web-server for prediction of linear peptide sequences binding to SH3, WW and PDZ domains
- (2018) Debasree Sarkar et al. PLoS One
- Decision Tree Based Approaches for Detecting Protein Complex in Protein Protein Interaction Network (PPI) via Link and Sequence Analysis
- (2018) Aisha Sikandar et al. IEEE Access
- Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences
- (2018) Hang Li et al. MOLECULES
- Protein-protein interaction interface residue pair prediction based on deep learning architecture
- (2017) Zhenni Zhao et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks
- (2017) Xiuquan Du et al. Journal of Chemical Information and Modeling
- Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network
- (2017) Yan-Bin Wang et al. Molecular BioSystems
- Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification
- (2015) Ruimao Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information
- (2015) V. Suresh et al. NUCLEIC ACIDS RESEARCH
- Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine
- (2014) Shao-Wu Zhang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Visualization and targeted disruption of protein interactions in living cells
- (2013) Henry D. Herce et al. Nature Communications
- Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction
- (2012) Xiaotong Lin et al. PROTEOMICS
- Large-Scale Prediction of Human Protein−Protein Interactions from Amino Acid Sequence Based on Latent Topic Features
- (2010) Xiao-Yong Pan et al. JOURNAL OF PROTEOME RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More