نتائج البحث

miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs.

• Authors : Bell J; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States of America.; Larson M

Subjects: Computational Biology/Computational Biology/Computational Biology/*methods ; MicroRNAs/MicroRNAs/MicroRNAs/*analysis ; RNA Precursors/RNA Precursors/RNA Precursors/*analysis

• Source: PLoS computational biology [PLoS Comput Biol] 2019 Oct 09; Vol. 15 (10), pp. e1007309. Date of Electronic Publication: 2019 Oct 09 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Benchmarking the negatives: Effect of negative data generation on the classification of miRNA-mRNA interactions.

• Authors : Cohen-Davidi E; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.; Veksler-Lublinsky I

Subjects: MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics ; MicroRNAs*/MicroRNAs*/MicroRNAs*/metabolism ; RNA, Messenger*/RNA, Messenger*/RNA, Messenger*/genetics

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Aug 26; Vol. 20 (8), pp. e1012385. Date of Electronic Publication: 2024 Aug 26 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Kernel Bayesian logistic tensor decomposition with automatic rank determination for predicting multiple types of miRNA-disease associations.

• Authors : Ma Y; School of Mathematics and Statistics, Xiamen University of Technology, Xiamen, China.; Ma Y

Subjects: MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics ; MicroRNAs*/MicroRNAs*/MicroRNAs*/metabolism ; Bayes Theorem*

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Jul 08; Vol. 20 (7), pp. e1012287. Date of Electronic Publication: 2024 Jul 08 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.

• Authors : Ouyang D; Peng Cheng Laboratory, Shenzhen, China.; School of Biomedical Engineering, Guangdong Medical University, Dongguan, China.

Subjects: MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics ; MicroRNAs*/MicroRNAs*/MicroRNAs*/metabolism ; Computational Biology*/Computational Biology*/Computational Biology*/methods

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Apr 23; Vol. 20 (4), pp. e1011927. Date of Electronic Publication: 2024 Apr 23 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

High CO2 adaptation mechanisms revealed in the miR156-regulated flowering time pathway.

• Authors : Zhang K; School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, Anhui, P. R. China.; State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, P.R. China.

Subjects: Arabidopsis Proteins*/Arabidopsis Proteins*/Arabidopsis Proteins*/genetics ; Arabidopsis Proteins*/Arabidopsis Proteins*/Arabidopsis Proteins*/metabolism ; Arabidopsis*/Arabidopsis*/Arabidopsis*/metabolism

• Source: PLoS computational biology [PLoS Comput Biol] 2023 Dec 20; Vol. 19 (12), pp. e1011738. Date of Electronic Publication: 2023 Dec 20 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer.

• Authors : Kong, Chao^1,2,3 (AUTHOR); Yao, Yu-Xiang³ (AUTHOR); Bing, Zhi-Tong^4,5,6 (AUTHOR)

• Source: PLoS Computational Biology. 5/19/2020, Vol. 16 Issue 5, p1-23. 23p. 1 Diagram, 1 Chart, 8 Graphs.

تفاصيل العنوان

Predicting lncRNA-disease associations based on heterogeneous graph convolutional generative adversarial network.

• Authors : Lu Z; School of Information, Yunnan Normal University, Yunnan, People's Republic of China.; Zhong H

Subjects: RNA, Long Noncoding*/RNA, Long Noncoding*/RNA, Long Noncoding*/genetics ; Neoplasms*/Neoplasms*/Neoplasms*/genetics ; MicroRNAs*

• Source: PLoS computational biology [PLoS Comput Biol] 2023 Nov 29; Vol. 19 (11), pp. e1011634. Date of Electronic Publication: 2023 Nov 29 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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TFOFinder: Python program for identifying purine-only double-stranded stretches in the predicted secondary structure(s) of RNA targets.

• Authors : Neugroschl A; Department of Chemistry and Biochemistry, Stern College for Women, Yeshiva University, New York, New York, United States of America.; Catrina IE

Subjects: Drosophila melanogaster* ; MicroRNAs*; Animals

• Source: PLoS computational biology [PLoS Comput Biol] 2023 Aug 25; Vol. 19 (8), pp. e1011418. Date of Electronic Publication: 2023 Aug 25 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Constructing a full, multiple-layer interactome for SARS-CoV-2 in the context of lung disease: Linking the virus with human genes and microbes.

• Authors : Lou S; Program in Computational Biology & Bioinformatics, Yale University, New Haven, Connecticut, United States of America.; Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, Connecticut, United States of America.

Subjects: COVID-19* ; MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics; Humans

• Source: PLoS computational biology [PLoS Comput Biol] 2023 Jul 06; Vol. 19 (7), pp. e1011222. Date of Electronic Publication: 2023 Jul 06 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

تفاصيل العنوان

Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay.

• Authors : Jiang P; Department of Computer Science, Princeton University, Princeton, New Jersey, USA.; Singh M

Subjects: Models, Genetic*; Amino Acid Motifs/Amino Acid Motifs/Amino Acid Motifs/*genetics ; MicroRNAs/MicroRNAs/MicroRNAs/*chemistry

• Source: PLoS computational biology [PLoS Comput Biol] 2013; Vol. 9 (5), pp. e1003075. Date of Electronic Publication: 2013 May 30.Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: Print-Electronic Cited Medium: Internet

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