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。Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins
Shibiao Wan et al.
BMC BIOINFORMATICS (2016)
Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins
Shibiao Wan et al.
JOURNAL OF PROTEOME RESEARCH (2016)
MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine
Anamika Thakur et al.
MOLECULAR BIOSYSTEMS (2016)
mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction
Shibiao Wan et al.
ANALYTICAL BIOCHEMISTRY (2015)
Protein (multi-)location prediction: utilizing interdependencies via a generative model
Ramanuja Simha et al.
BIOINFORMATICS (2015)
Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble
Xiao Wang et al.
BMC BIOINFORMATICS (2015)
An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction
Xinwang Liu et al.
PATTERN RECOGNITION (2015)
Protein (multi-) location prediction: using location inter-dependencies in a probabilistic framework
Ramanuja Simha et al.
ALGORITHMS FOR MOLECULAR BIOLOGY (2014)
CELLO2GO: A Web Server for Protein subCELlular LOcalization Prediction with Functional Gene Ontology Annotation
Chin-Sheng Yu et al.
PLOS ONE (2014)
Predicting multisite protein subcellular locations: progress and challenges
Pufeng Du et al.
EXPERT REVIEW OF PROTEOMICS (2013)
An efficient multiple-kernel learning for pattern classification
Chi-Yuan Yeh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
Shibiao Wan et al.
JOURNAL OF THEORETICAL BIOLOGY (2013)
Alignment based kernel learning with a continuous set of base kernels
Arash Afkanpour et al.
MACHINE LEARNING (2013)
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
Shibiao Wan et al.
BMC BIOINFORMATICS (2012)
An Ensemble Classifier for Eukaryotic Protein Subcellular Location Prediction Using Gene Ontology Categories and Amino Acid Hydrophobicity
Liqi Li et al.
PLOS ONE (2012)
Multi-Label Multi-Kernel Transfer Learning for Human Protein Subcellular Localization
Suyu Mei
PLOS ONE (2012)
Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
Jianjun He et al.
PLOS ONE (2012)
iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
Xuan Xiao et al.
JOURNAL OF THEORETICAL BIOLOGY (2011)
A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites
Xuan Xiao et al.
PLOS ONE (2011)
Going from where to why-interpretable prediction of protein subcellular localization
Sebastian Briesemeister et al.
BIOINFORMATICS (2010)
YLoc-an interpretable web server for predicting subcellular localization
Sebastian Briesemeister et al.
NUCLEIC ACIDS RESEARCH (2010)
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
Torsten Blum et al.
BMC BIOINFORMATICS (2009)
Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance
Oezguer Sahin et al.
BMC SYSTEMS BIOLOGY (2009)
A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction
Shibin Qiu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2009)
Improving subcellular localization prediction using text classification and the gene ontology
Alona Fyshe et al.
BIOINFORMATICS (2008)
DBMLoc: a database of proteins with multiple subcellular localizations
Song Zhang et al.
BMC BIOINFORMATICS (2008)
PairProSVM: Protein subcellular localization based on local pairwise profile alignment and SVM
Man-Wai Mak et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2008)
Protein networks markedly improve prediction of subcellular localization in multiple eukaryotic species
KiYoung Lee et al.
NUCLEIC ACIDS RESEARCH (2008)
Recent progress in protein subcellular location prediction
Kuo-Chen Chou et al.
ANALYTICAL BIOCHEMISTRY (2007)
WoLF PSORT: protein localization predictor
Paul Horton et al.
NUCLEIC ACIDS RESEARCH (2007)
SherLoc:: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data
Hagit Shatkay et al.
BIOINFORMATICS (2007)
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes
Brian R. King et al.
GENOME BIOLOGY (2007)
Euk-mPLoc: A fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites
Kuo-Chen Chou et al.
JOURNAL OF PROTEOME RESEARCH (2007)
MultiLoc:: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition
A Höglund et al.
BIOINFORMATICS (2006)
Predicting subcellular localization of proteins using machine-learned classifiers
Z Lu et al.
BIOINFORMATICS (2004)
Predicting subcellular localization via protein motif co-occurrence
MS Scott et al.
GENOME RESEARCH (2004)
Prediction and classification of protein subcellular location - Sequence-order effect and pseudo amino acid composition
KC Chou et al.
JOURNAL OF CELLULAR BIOCHEMISTRY (2003)
Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs
KJ Park et al.
BIOINFORMATICS (2003)
Evaluation of simple performance measures for tuning SVM hyperparameters
K Duan et al.
NEUROCOMPUTING (2003)
Using functional domain composition and support vector machines for prediction of protein subcellular location
KC Chou et al.
JOURNAL OF BIOLOGICAL CHEMISTRY (2002)
Extensive feature detection of N-terminal protein sorting signals
H Bannai et al.
BIOINFORMATICS (2002)
Choosing multiple parameters for support vector machines
O Chapelle et al.
MACHINE LEARNING (2002)
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
O Emanuelsson et al.
JOURNAL OF MOLECULAR BIOLOGY (2000)
分享论文
