scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/bmcbi/ZhaoWCA08 |
P356 | DOI | 10.1186/1471-2105-9-57 |
P932 | PMC publication ID | 2275242 |
P698 | PubMed publication ID | 18221567 |
P5875 | ResearchGate publication ID | 5629394 |
P50 | author | Kazuyuki Aihara | Q11412406 |
P2093 | author name string | Luonan Chen | |
Yong Wang | |||
Xing-Ming Zhao | |||
P2860 | cites work | Genomic expression responses to DNA-damaging agents and the regulatory role of the yeast ATR homolog Mec1p | Q33948213 |
Predicting protein functions from redundancies in large-scale protein interaction networks | Q36689451 | ||
Genome-wide analysis of gene expression regulated by the calcineurin/Crz1p signaling pathway in Saccharomyces cerevisiae | Q38288284 | ||
Hierarchical multi-label prediction of gene function | Q38519155 | ||
Exploiting indirect neighbours and topological weight to predict protein function from protein-protein interactions | Q42683787 | ||
PSoL: a positive sample only learning algorithm for finding non-coding RNA genes. | Q45965802 | ||
Global protein function prediction from protein-protein interaction networks | Q47921995 | ||
Protein function prediction with the shortest path in functional linkage graph and boosting. | Q51863276 | ||
Protein domain annotation with integration of heterogeneous information sources | Q80538483 | ||
Gene ontology: tool for the unification of biology | Q23781406 | ||
Functional organization of the yeast proteome by systematic analysis of protein complexes | Q24292209 | ||
BioGRID: a general repository for interaction datasets | Q24538650 | ||
A computational approach to identify genes for functional RNAs in genomic sequences | Q24555117 | ||
Cluster analysis and display of genome-wide expression patterns | Q24644463 | ||
Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization | Q24657378 | ||
The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes | Q24701143 | ||
Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network | Q24806896 | ||
Genomic expression programs in the response of yeast cells to environmental changes | Q27860823 | ||
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry | Q27861116 | ||
New components of a system for phosphate accumulation and polyphosphate metabolism in Saccharomyces cerevisiae revealed by genomic expression analysis | Q27937759 | ||
The two-hybrid system: a method to identify and clone genes for proteins that interact with a protein of interest | Q28131694 | ||
Missing value estimation methods for DNA microarrays | Q28200763 | ||
Estimating the support of a high-dimensional distribution | Q28204995 | ||
MIPS: a database for genomes and protein sequences | Q29614501 | ||
A network of protein-protein interactions in yeast | Q30004209 | ||
Assessment of prediction accuracy of protein function from protein--protein interaction data | Q30644168 | ||
Transitive functional annotation by shortest-path analysis of gene expression data | Q30716814 | ||
Mapping Gene Ontology to proteins based on protein-protein interaction data | Q30891368 | ||
Kernel-based data fusion and its application to protein function prediction in yeast. | Q30909344 | ||
Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae | Q30977956 | ||
Protein classification with imbalanced data | Q31139777 | ||
Functional clustering of yeast proteins from the protein-protein interaction network | Q33251561 | ||
P304 | page(s) | 57 | |
P577 | publication date | 2008-01-28 | |
P1433 | published in | BMC Bioinformatics | Q4835939 |
P1476 | title | Gene function prediction using labeled and unlabeled data | |
P478 | volume | 9 |
Q33722170 | A network approach to predict pathogenic genes for Fusarium graminearum |
Q30951154 | A particle swarm based hybrid system for imbalanced medical data sampling |
Q37141790 | Bridging protein local structures and protein functions |
Q40515721 | Detecting protein-protein interactions with a novel matrix-based protein sequence representation and support vector machines. |
Q38238930 | Drug-target interaction prediction via chemogenomic space: learning-based methods |
Q36972488 | Enhanced community structure detection in complex networks with partial background information |
Q42064841 | Improving the prediction of yeast protein function using weighted protein-protein interactions |
Q38431964 | Machine learning in computational biology to accelerate high-throughput protein expression. |
Q38632433 | Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree |
Q38445872 | NegGOA: negative GO annotations selection using ontology structure |
Q35186620 | Negative example selection for protein function prediction: the NoGO database |
Q34361112 | ParsEval: parallel comparison and analysis of gene structure annotations. |
Q36680727 | Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer. |
Q36294395 | Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes. |
Q35050912 | Predicting gene function using similarity learning |
Q45945654 | Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks. |
Q35775190 | Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach |
Q36278793 | SELF-BLM: Prediction of drug-target interactions via self-training SVM |
Q58701402 | Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions |
Q28551845 | iDPF-PseRAAAC: A Web-Server for Identifying the Defensin Peptide Family and Subfamily Using Pseudo Reduced Amino Acid Alphabet Composition |
Search more.