DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier

M Kulmanov, MA Khan, R Hoehndorf - Bioinformatics, 2018 - academic.oup.com
Motivation A large number of protein sequences are becoming available through the
application of novel high-throughput sequencing technologies. Experimental functional …

[图书][B] Protein interaction networks: computational analysis

A Zhang - 2009 - books.google.com
The analysis of protein-protein interactions is fundamental to the understanding of cellular
organization, processes, and functions. Recent large-scale investigations of protein-protein …

SDN2GO: an integrated deep learning model for protein function prediction

Y Cai, J Wang, L Deng - Frontiers in bioengineering and …, 2020 - frontiersin.org
The assignment of function to proteins at a large scale is essential for understanding the
molecular mechanism of life. However, only a very small percentage of the more than 179 …

Investigation of machine learning techniques on proteomics: A comprehensive survey

PM Sonsare, C Gunavathi - Progress in biophysics and molecular biology, 2019 - Elsevier
Proteomics is the extensive investigation of proteins which has empowered the recognizable
proof of consistently expanding quantities of protein. Proteins are necessary part of living life …

Vavien: An Algorithm for Prioritizing Candidate Disease Genes Based on Topological Similarity of Proteins in Interaction Networks

S Erten, G Bebek, M Koyutürk - Journal of computational biology, 2011 - liebertpub.com
Genome-wide linkage and association studies have demonstrated promise in identifying
genetic factors that influence health and disease. An important challenge is to narrow down …

Algorithmic and analytical methods in network biology

M Koyutürk - Wiley Interdisciplinary Reviews: Systems Biology …, 2010 - Wiley Online Library
During the genomic revolution, algorithmic and analytical methods for organizing,
integrating, analyzing, and querying biological sequence data proved invaluable. Today …

A deep learning framework for gene ontology annotations with sequence-and network-based information

F Zhang, H Song, M Zeng, FX Wu, Y Li… - … /ACM transactions on …, 2020 - ieeexplore.ieee.org
Knowledge of protein functions plays an important role in biology and medicine. With the
rapid development of high-throughput technologies, a huge number of proteins have been …

Predicting protein function by frequent functional association pattern mining in protein interaction networks

YR Cho, A Zhang - IEEE Transactions on information …, 2009 - ieeexplore.ieee.org
Predicting protein function from protein interaction networks has been challenging because
of the complexity of functional relationships among proteins. Most previous function …

Molecular function prediction using neighborhood features

P Bogdanov, AK Singh - IEEE/ACM Transactions on …, 2009 - ieeexplore.ieee.org
The recent advent of high-throughput methods has generated large amounts of gene
interaction data. This has allowed the construction of genomewide networks. A significant …

Predicting protein function by multi-label correlated semi-supervised learning

JQ Jiang, LJ McQuay - IEEE/ACM Transactions on …, 2011 - ieeexplore.ieee.org
Assigning biological functions to uncharacterized proteins is a fundamental problem in the
postgenomic era. The increasing availability of large amounts of data on protein-protein …