| scholarly article | Q13442814 |
| P356 | DOI | 10.1002/PMIC.201200436 |
| P953 | full work available at URL | https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fpmic.201200436 |
| https://onlinelibrary.wiley.com/doi/full/10.1002/pmic.201200436 | ||
| P698 | PubMed publication ID | 23193073 |
| P50 | author | Yi Pan | Q87115839 |
| P2093 | author name string | Jianxin Wang | |
| Min Li | |||
| Xuehong Wu | |||
| P2860 | cites work | An automated method for finding molecular complexes in large protein interaction networks | Q21284295 |
| DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions | Q24548456 | ||
| The Gene Ontology (GO) database and informatics resource | Q27860988 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| An efficient algorithm for large-scale detection of protein families | Q28131838 | ||
| Uncovering the overlapping community structure of complex networks in nature and society | Q28255377 | ||
| Development and implementation of an algorithm for detection of protein complexes in large interaction networks | Q33239865 | ||
| Evaluation of clustering algorithms for protein-protein interaction networks | Q33262820 | ||
| Modifying the DPClus algorithm for identifying protein complexes based on new topological structures | Q33371821 | ||
| Predicting protein complexes from PPI data: a core-attachment approach | Q33405597 | ||
| RRW: repeated random walks on genome-scale protein networks for local cluster discovery | Q33501387 | ||
| Computational approaches for detecting protein complexes from protein interaction networks: a survey | Q33531521 | ||
| Recent advances in clustering methods for protein interaction networks | Q33766571 | ||
| SPICi: a fast clustering algorithm for large biological networks | Q33785547 | ||
| Challenges and rewards of interaction proteomics | Q34830313 | ||
| How and when should interactome-derived clusters be used to predict functional modules and protein function? | Q35198634 | ||
| Protein complex identification by supervised graph local clustering | Q37283301 | ||
| A new method to measure the semantic similarity of GO terms | Q38398724 | ||
| NOA: a novel Network Ontology Analysis method | Q38502454 | ||
| A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks | Q38505313 | ||
| Modular organization of protein interaction networks | Q38517471 | ||
| Identifying the overlapping complexes in protein interaction networks | Q44518858 | ||
| The Cell as a Collection of Protein Machines: Preparing the Next Generation of Molecular Biologists | Q46148013 | ||
| Protein complex prediction via cost-based clustering | Q47387430 | ||
| Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization | Q57707169 | ||
| P433 | issue | 2 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | protein-protein interaction | Q896177 |
| protein interaction map | Q65561205 | ||
| P304 | page(s) | 291-300 | |
| P577 | publication date | 2013-01-03 | |
| P1433 | published in | Proteomics | Q15614164 |
| P1476 | title | hF-measure: A new measurement for evaluating clusters in protein-protein interaction networks | |
| hF‐measure: A new measurement for evaluating clusters in protein–protein interaction networks | |||
| P478 | volume | 13 |
| Q61809787 | Aberrantly DNA Methylated-Differentially Expressed Genes and Pathways in Hepatocellular Carcinoma |
| Q36268840 | An improved method for functional similarity analysis of genes based on Gene Ontology |
| Q38407526 | Identification of drought-induced transcription factors in Sorghum bicolor using GO term semantic similarity |
| Q33737595 | Identifying dynamic protein complexes based on gene expression profiles and PPI networks |
| Q42680452 | Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network. |
| Q61455782 | Prediction of novel target genes and pathways involved in tall cell variant papillary thyroid carcinoma |
| Q38422071 | Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks |
| Q36183051 | SGFSC: speeding the gene functional similarity calculation based on hash tables |
Search more.