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Found 1346 results
2015
Zhao X-M, Liu K-Q, Zhu G, He F, Duval B, Richer J-M, Huang D-S, Jiang C-J, Hao J-K, Chen L.  2015.  Identifying cancer-related microRNAs based on gene expression data.. Bioinformatics. 31(8):1226-34.
Kothandan R, Biswas S.  2015.  Identifying microRNAs involved in cancer pathway using support vector machines.. Comput Biol Chem. 55:31-6.
Wang CY, Hu LL, Guo MZ, Liu XY, Zou Q.  2015.  imDC: an ensemble learning method for imbalanced classification with miRNA data.. Genet Mol Res. 14(1):123-33.
Murie C, Barette C, Button J, Lafanechère L, Nadon R.  2015.  Improving detection of rare biological events in high-throughput screens.. J Biomol Screen. 20(2):230-41.
Patrick E, Buckley M, Müller S, Lin DM, Yang JYH.  2015.  Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data.. Bioinformatics. 31(17):2822-8.
Meng J, Liu D, Luan Y.  2015.  Inferring plant microRNA functional similarity using a weighted protein-protein interaction network.. BMC Bioinformatics. 16:360.
Wang Z, Xu W, Liu Y.  2015.  Integrating full spectrum of sequence features into predicting functional microRNA-mRNA interactions.. Bioinformatics. 31(21):3529-36.
Ren X, Fu H, Jin Q.  2015.  Integrating heterogeneous genomic data to accurately identify disease subtypes.. BMC Med Genomics. 8:78.
Agharbaoui Z, Leclercq M, Remita MAmine, Badawi MA, Lord E, Houde M, Danyluk J, Diallo ABanire, Sarhan F.  2015.  An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress.. BMC Genomics. 16:339.
Zhong R, Dong X, Levine B, Xie Y, Xiao G.  2015.  iScreen: Image-Based High-Content RNAi Screening Analysis Tools.. J Biomol Screen. 20(8):998-1002.
Quek C, Jung C-H, Bellingham SA, Lonie A, Hill AF.  2015.  iSRAP - a one-touch research tool for rapid profiling of small RNA-seq data.. J Extracell Vesicles. 4:29454.
Jha A, Panzade G, Pandey R, Shankar R.  2015.  A legion of potential regulatory sRNAs exists beyond the typical microRNAs microcosm.. Nucleic Acids Res. 43(18):8713-24.
Gong J, Liu W, Zhang J, Miao X, Guo A-Y.  2015.  lncRNASNP: a database of SNPs in lncRNAs and their potential functions in human and mouse.. Nucleic Acids Res. 43(Database issue):D181-6.
Wang D, Yan K-K, Sisu C, Cheng C, Rozowsky J, Meyerson W, Gerstein MB.  2015.  Loregic: a method to characterize the cooperative logic of regulatory factors.. PLoS Comput Biol. 11(4):e1004132.
Coonen MLj, Theunissen DHj, Kleinjans JCs, Jennen DGj.  2015.  MagiCMicroRna: a web implementation of AgiMicroRna using shiny.. Source Code Biol Med. 10:4.
Gebhardt MLuise, Mer ASingh, Andrade-Navarro MAngel.  2015.  mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing data.. BMC Res Notes. 8:157.
Bandyopadhyay S, Ghosh D, Mitra R, Zhao Z.  2015.  MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets.. Sci Rep. 5:8004.
Wei G, Qin S, Li W, Chen L, Ma F.  2015.  MDTE DB: a database for microRNAs derived from Transposable element.. IEEE/ACM Trans Comput Biol Bioinform.
Liu H, Flores MA, Meng J, Zhang L, Zhao X, Rao MK, Chen Y, Huang Y.  2015.  MeT-DB: a database of transcriptome methylation in mammalian cells.. Nucleic Acids Res. 43(Database issue):D197-203.
Huang W-Y, Da Hsu S-, Huang H-Y, Sun Y-M, Chou C-H, Weng S-L, Da Huang H-.  2015.  MethHC: a database of DNA methylation and gene expression in human cancer.. Nucleic Acids Res. 43(Database issue):D856-61.
Ding J, Li X, Hu H.  2015.  MicroRNA modules prefer to bind weak and unconventional target sites.. Bioinformatics. 31(9):1366-74.
Ghoshal A, Shankar R, Bagchi S, Grama A, Chaterji S.  2015.  MicroRNA target prediction using thermodynamic and sequence curves.. BMC Genomics. 16:999.
Backes C, Haas J, Leidinger P, Frese K, Großmann T, Ruprecht K, Meder B, Meese E, Keller A.  2015.  miFRame: analysis and visualization of miRNA sequencing data in neurological disorders.. J Transl Med. 13:224.
Bhattacharya A, Cui Y.  2015.  miR2GO: comparative functional analysis for microRNAs.. Bioinformatics. 31(14):2403-5.
Evers M, Huttner M, Dueck A, Meister G, Engelmann JC.  2015.  miRA: adaptable novel miRNA identification in plants using small RNA sequencing data.. BMC Bioinformatics. 16:370.

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