SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

@en

SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

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P1476

SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction.

@en

P2093

Di Xie

http://www.w3.org/2001/XMLSchema#string

Fan Wang

http://www.w3.org/2001/XMLSchema#string

Gui-Ying Yan

http://www.w3.org/2001/XMLSchema#string

Hongsheng Liu

http://www.w3.org/2001/XMLSchema#string

Qi Zhao

http://www.w3.org/2001/XMLSchema#string

Xing Chen

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P2860

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MicroRNA-155 regulates cell survival, growth, and chemosensitivity by targeting FOXO3a in breast cancer

miRBase: integrating microRNA annotation and deep-sequencing data

Most mammalian mRNAs are conserved targets of microRNAs

miR2Disease: a manually curated database for microRNA deregulation in human disease

Prospective identification of tumorigenic breast cancer cells

Aromatase inhibitors in the breast cancer clinic: focus on exemestane

Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

Posttranscriptional regulation of the heterochronic gene lin-14 by lin-4 mediates temporal pattern formation in C. elegans

MicroRNA gene expression deregulation in human breast cancer

P304

1826-1842

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P31

scholarly article

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10.18632/ONCOTARGET.22812

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P407

English

P433

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P478

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P577

2017-12-01T00:00:00Z

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29416734

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P932

5788602

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