| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bmcbi/LiuYCGH10 |
| P6179 | Dimensions Publication ID | 1014637491 |
| P356 | DOI | 10.1186/1471-2105-11-476 |
| P932 | PMC publication ID | 2955701 |
| P698 | PubMed publication ID | 20860840 |
| P5875 | ResearchGate publication ID | 46402884 |
| P50 | author | Shou-Jiang Gao | Q41839530 |
| P2093 | author name string | Hui Liu | |
| Yufei Huang | |||
| Yidong Chen | |||
| Dong Yue | |||
| P2860 | cites work | Systematic identification of mRNAs recruited to argonaute 2 by specific microRNAs and corresponding changes in transcript abundance | Q21090092 |
| Principles of microRNA-target recognition | Q21146368 | ||
| Human MicroRNA targets | Q21563637 | ||
| Fast and effective prediction of microRNA/target duplexes | Q24537313 | ||
| MicroRNA targeting specificity in mammals: determinants beyond seed pairing | Q24607724 | ||
| The impact of microRNAs on protein output | Q24653549 | ||
| miRecords: an integrated resource for microRNA-target interactions | Q24655642 | ||
| miTarget: microRNA target gene prediction using a support vector machine | Q24670005 | ||
| MicroRNA targets in Drosophila | Q24806738 | ||
| MicroInspector: a web tool for detection of miRNA binding sites in an RNA sequence | Q24812126 | ||
| Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method | Q24814166 | ||
| Combinatorial microRNA target predictions | Q27860510 | ||
| Widespread changes in protein synthesis induced by microRNAs | Q27860886 | ||
| MicroRNAs: genomics, biogenesis, mechanism, and function | Q27861070 | ||
| The role of site accessibility in microRNA target recognition | Q29547436 | ||
| A pattern-based method for the identification of MicroRNA binding sites and their corresponding heteroduplexes | Q29616620 | ||
| A combined computational-experimental approach predicts human microRNA targets | Q29619021 | ||
| Minimum redundancy feature selection from microarray gene expression data | Q30988046 | ||
| Principles and limitations of computational microRNA gene and target finding | Q36822487 | ||
| The functions of herpesvirus-encoded microRNAs | Q37035058 | ||
| Revisiting the principles of microRNA target recognition and mode of action | Q37368876 | ||
| An overview of the identification, detection, and functional analysis of Drosophila microRNAs | Q38289138 | ||
| Weighted sequence motifs as an improved seeding step in microRNA target prediction algorithms | Q43207380 | ||
| Prediction of both conserved and nonconserved microRNA targets in animals. | Q45964956 | ||
| Naïve Bayes for microRNA target predictions--machine learning for microRNA targets. | Q45965135 | ||
| Computational identification of microRNA targets. | Q52001642 | ||
| From sequences to shapes and back: a case study in RNA secondary structures. | Q52379672 | ||
| A guide through present computational approaches for the identification of mammalian microRNA targets | Q61161512 | ||
| P921 | main subject | microRNA | Q310899 |
| P304 | page(s) | 476 | |
| P577 | publication date | 2010-09-22 | |
| P1433 | published in | BMC Bioinformatics | Q4835939 |
| P1476 | title | Improving performance of mammalian microRNA target prediction | |
| P478 | volume | 11 |
| Q33766581 | A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling |
| Q39292510 | A Kaposi's sarcoma-associated herpesvirus microRNA and its variants target the transforming growth factor β pathway to promote cell survival |
| Q45954268 | A new approach to human microRNA target prediction using ensemble pruning and rotation forest. |
| Q45949988 | A novel computational method for inferring competing endogenous interactions. |
| Q30679409 | A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information |
| Q42013246 | An investigation into anti-proliferative effects of microRNAs encoded by the miR-106a-363 cluster on human carcinoma cells and keratinocytes using microarray profiling of miRNA transcriptomes |
| Q42326397 | Analysis of the accessibility of CLIP bound sites reveals that nucleation of the miRNA:mRNA pairing occurs preferentially at the 3'-end of the seed match |
| Q27002723 | Common features of microRNA target prediction tools |
| Q38282622 | Comprehensive overview and assessment of computational prediction of microRNA targets in animals |
| Q53378101 | Computational Prediction of microRNA Targets. |
| Q38821616 | Computational and Experimental Identification of Tissue-Specific MicroRNA Targets. |
| Q36422259 | Context-specific microRNA analysis: identification of functional microRNAs and their mRNA targets |
| Q35776219 | DNA microarray integromics analysis platform |
| Q34976035 | Developing microRNA screening as a functional genomics tool for disease research |
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| Q30614377 | Gene regulation, modulation, and their applications in gene expression data analysis |
| Q35155627 | Identification of miR-145 targets through an integrated omics analysis. |
| Q35215871 | Identifying microRNA targets in different gene regions |
| Q89666216 | Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation |
| Q35079842 | KSHV microRNAs mediate cellular transformation and tumorigenesis by redundantly targeting cell growth and survival pathways |
| Q28255832 | MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets |
| Q35901547 | MicroRNA-134 Contributes to Glucose-Induced Endothelial Cell Dysfunction and This Effect Can Be Reversed by Far-Infrared Irradiation |
| Q38119026 | MicroRNAs in farm animals |
| Q40824378 | Naïve Bayes classifier predicts functional microRNA target interactions in colorectal cancer. |
| Q26772303 | Non-coding yet non-trivial: a review on the computational genomics of lincRNAs |
| Q34182348 | Optimal use of conservation and accessibility filters in microRNA target prediction |
| Q90745788 | PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation |
| Q21128766 | Predicting effective microRNA target sites in mammalian mRNAs |
| Q37488961 | Quantitative Proteomic Approach for MicroRNA Target Prediction Based on 18O/16O Labeling |
| Q35930516 | Single base mismatches in the mRNA target site allow specific seed region-mediated off-target binding of siRNA targeting human coagulation factor 7. |
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| Q37464136 | The miR-125 family is an important regulator of the expression and maintenance of maternal effect genes during preimplantational embryo development |
| Q36028777 | TraceRNA: a web application for competing endogenous RNA exploration |
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| Q64230165 | WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach |
| Q47120046 | mirDIP 4.1-integrative database of human microRNA target predictions. |
| Q34568135 | mirMark: a site-level and UTR-level classifier for miRNA target prediction |
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