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Literature DB >> 21425446

MicroRNA expression profiling for molecular classification of pediatric brain tumors.

Simone Treiger Sredni, Chiang-Ching Huang, Maria de Fátima Bonaldo, Tadanori Tomita.

Abstract

Entities: Disease

Mesh：

Substances：
MicroRNAs
RNA, Neoplasm

Year: 2011 PMID： 21425446 DOI： 10.1002/pbc.23105

Source DB: PubMed Journal: Pediatr Blood Cancer ISSN： 1545-5009 Impact factor: 3.167

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Cited

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10 in total

1. Extensive miRNA expression analysis in craniopharyngiomas.

Authors: Jill Samis; Elio F Vanin; Simone Treiger Sredni; Maria de Fátima de Bonaldo; Fabricio F Costa; Tadanori Tomita; Reema Habiby; Donald Zimmerman; Marcelo B Soares
Journal: Childs Nerv Syst Date: 2016-06-07 Impact factor: 1.475

2. MicroRNA profiling in pediatric pilocytic astrocytoma reveals biologically relevant targets, including PBX3, NFIB, and METAP2.

Authors: Cheng-Ying Ho; Eli Bar; Caterina Giannini; Luigi Marchionni; Matthias A Karajannis; David Zagzag; David H Gutmann; Charles G Eberhart; Fausto J Rodriguez
Journal: Neuro Oncol Date: 2012-11-15 Impact factor: 12.300

3. Pediatric neurosurgery-science, art, and humility: reflection of personal experience.

Authors: Tadanori Tomita
Journal: Childs Nerv Syst Date: 2013-09-07 Impact factor: 1.475

4. Microrna expression signatures predict patient progression and disease outcome in pediatric embryonal central nervous system neoplasms.

Authors: Maria Braoudaki; George I Lambrou; Krinio Giannikou; Vasilis Milionis; Kalliopi Stefanaki; Diane K Birks; Neophytos Prodromou; Aggeliki Kolialexi; Antonis Kattamis; Chara A Spiliopoulou; Fotini Tzortzatou-Stathopoulou; Emmanouel Kanavakis
Journal: J Hematol Oncol Date: 2014-12-31 Impact factor: 17.388

5. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.

Authors: Zhu-Hong You; Zhi-An Huang; Zexuan Zhu; Gui-Ying Yan; Zheng-Wei Li; Zhenkun Wen; Xing Chen
Journal: PLoS Comput Biol Date: 2017-03-24 Impact factor: 4.475

6. MicroRNA profiling of low-grade glial and glioneuronal tumors shows an independent role for cluster 14q32.31 member miR-487b.

Authors: Heather Marion Ames; Ming Yuan; Maria Adelita Vizcaíno; Wayne Yu; Fausto J Rodriguez
Journal: Mod Pathol Date: 2016-10-14 Impact factor: 7.842

MicroRNA expression profiling for molecular classification of pediatric brain tumors.

1. Extensive miRNA expression analysis in craniopharyngiomas.

2. MicroRNA profiling in pediatric pilocytic astrocytoma reveals biologically relevant targets, including PBX3, NFIB, and METAP2.

3. Pediatric neurosurgery-science, art, and humility: reflection of personal experience.

4. Microrna expression signatures predict patient progression and disease outcome in pediatric embryonal central nervous system neoplasms.

5. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.

6. MicroRNA profiling of low-grade glial and glioneuronal tumors shows an independent role for cluster 14q32.31 member miR-487b.

7. MicroRNA (miR) 125b regulates cell growth and invasion in pediatric low grade glioma.

8. A deep ensemble model to predict miRNA-disease association.

9. Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network.

10. RFLMDA: A Novel Reinforcement Learning-Based Computational Model for Human MicroRNA-Disease Association Prediction.