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PSL-Recommender: Protein Subcellular Localization Prediction using Recommender System

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jcb.10719openalex-snapshot
Prediction and classification of protein subcellular location—sequence‐order effect and pseudo amino acid composition
inferredcites →https://doi.org/10.1002/prot.10507openalex-snapshot
Better prediction of sub‐cellular localization by combining evolutionary and structural information
inferredcites →https://doi.org/10.1006/jmbi.1994.1267openalex-snapshot
Discrimination of Intracellular and Extracellular Proteins Using Amino Acid Composition and Residue-pair Frequencies
inferredcites →https://doi.org/10.1006/jmbi.2000.3903openalex-snapshot
Predicting Subcellular Localization of Proteins Based on their N-terminal Amino Acid Sequence
inferredcites →https://doi.org/10.1016/j.jtbi.2011.06.005openalex-snapshot
iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
inferredcites →https://doi.org/10.1016/j.jtbi.2015.06.042openalex-snapshot
mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor
inferredcites →https://doi.org/10.1016/s0968-0004(98)01336-xopenalex-snapshot
PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization
inferredcites →https://doi.org/10.1021/pr060635iopenalex-snapshot
Euk-mPLoc: A Fusion Classifier for Large-Scale Eukaryotic Protein Subcellular Location Prediction by Incorporating Multiple Sites
inferredcites →https://doi.org/10.1021/pr900665yopenalex-snapshot
SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins
inferredcites →https://doi.org/10.1038/75556openalex-snapshot
Gene Ontology: tool for the unification of biology
inferredcites →https://doi.org/10.1038/nprot.2007.494openalex-snapshot
Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
inferredcites →https://doi.org/10.1038/s41598-018-30394-wopenalex-snapshot
PMLPR: A novel method for predicting subcellular localization based on recommender systems
inferredcites →https://doi.org/10.1038/srep40376openalex-snapshot
Predicting drug-target interactions by dual-network integrated logistic matrix factorization
inferredcites →https://doi.org/10.1039/c1mb05420aopenalex-snapshot
iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites
inferredcites →https://doi.org/10.1093/bfgp/eln003openalex-snapshot
The prediction of protein subcellular localization from sequence: a shortcut to functional genome annotation
inferredcites →https://doi.org/10.1093/bioinformatics/18.2.298openalex-snapshot
Extensive feature detection of N-terminal protein sorting signals
inferredcites →https://doi.org/10.1093/bioinformatics/18.suppl_1.s78openalex-snapshot
Inferring sub-cellular localization through automated lexical analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btl002openalex-snapshot
MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition
inferredcites →https://doi.org/10.1093/bioinformatics/btl222openalex-snapshot
BaCelLo: a balanced subcellular localization predictor
inferredcites →https://doi.org/10.1093/bioinformatics/btl227openalex-snapshot
On counting position weight matrix matches in a sequence, with application to discriminative motif finding
inferredcites →https://doi.org/10.1093/bioinformatics/btm115openalex-snapshot
SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data
inferredcites →https://doi.org/10.1093/bioinformatics/btq115openalex-snapshot
Going from where to why—interpretable prediction of protein subcellular localization
inferredcites →https://doi.org/10.1093/bioinformatics/bts062openalex-snapshot
WegoLoc: accurate prediction of protein subcellular localization using weighted Gene Ontology terms
inferredcites →https://doi.org/10.1093/bioinformatics/btv590openalex-snapshot
A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool
inferredcites →https://doi.org/10.1093/bioinformatics/btw723openalex-snapshot
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features
inferredcites →https://doi.org/10.1093/bioinformatics/btx711openalex-snapshot
pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information
inferredcites →https://doi.org/10.1093/bioinformatics/bty013openalex-snapshot
Computational drug repositioning using low-rank matrix approximation and randomized algorithms
inferredcites →https://doi.org/10.1093/nar/10.9.2997openalex-snapshot
Use of the ‘Perceptron’ algorithm to distinguish translational initiation sites in E. coli
inferredcites →https://doi.org/10.1093/nar/25.17.3389openalex-snapshot
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
inferredcites →https://doi.org/10.1093/nar/gki359openalex-snapshot
LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST
inferredcites →https://doi.org/10.1093/nar/gkm259openalex-snapshot
WoLF PSORT: protein localization predictor
inferredcites →https://doi.org/10.1093/nar/gkn619openalex-snapshot
Protein networks markedly improve prediction of subcellular localization in multiple eukaryotic species
inferredcites →https://doi.org/10.1093/nar/gks1189openalex-snapshot
Database resources of the National Center for Biotechnology Information
inferredcites →https://doi.org/10.1093/nar/gku1003openalex-snapshot
STRING v10: protein–protein interaction networks, integrated over the tree of life
inferredcites →https://doi.org/10.1103/physreve.76.046115openalex-snapshot
Bipartite network projection and personal recommendation
inferredcites →https://doi.org/10.1109/cdc.2012.6426698openalex-snapshot
Randomized smoothing for (parallel) stochastic optimization
inferredcites →https://doi.org/10.1145/2487575.2487670openalex-snapshot
Collaborative matrix factorization with multiple similarities for predicting drug-target interactions
inferredcites →https://doi.org/10.1186/1471-2105-10-274openalex-snapshot
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
inferredcites →https://doi.org/10.1186/1471-2105-9-80openalex-snapshot
ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
inferredcites →https://doi.org/10.1186/1748-7188-9-8openalex-snapshot
Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework
inferredcites →https://doi.org/10.1186/1752-0509-3-28openalex-snapshot
Protein-protein interaction as a predictor of subcellular location
inferredcites →https://doi.org/10.1186/gb-2007-8-5-r68openalex-snapshot
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes
inferredcites →https://doi.org/10.1371/journal.pcbi.0010066openalex-snapshot
Refining Protein Subcellular Localization
inferredcites →https://doi.org/10.1371/journal.pcbi.1004760openalex-snapshot
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
inferredcites →https://doi.org/10.1371/journal.pone.0037155openalex-snapshot
Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
inferredcites →https://doi.org/10.18632/oncotarget.21934openalex-snapshot
LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization
inferredcites →https://doi.org/10.4018/jdwm.2007070101openalex-snapshot
Multi-Label Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1371/journal.pone.0258793openalex-snapshot
NN-RNALoc: Neural network-based model for prediction of mRNA sub-cellular localization using distance-based sub-sequence profiles
inferred← citeshttps://doi.org/10.3389/fgene.2018.00751openalex-snapshot
A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease
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