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Items: 1 to 20 of 680

1.

Identification of dysregulated genes in rheumatoid arthritis based on bioinformatics analysis.

Hao R, Du H, Guo L, Tian F, An N, Yang T, Wang C, Wang B, Zhou Z.

PeerJ. 2017 Mar 15;5:e3078. doi: 10.7717/peerj.3078. eCollection 2017 Mar 15.

2.

Variation-preserving normalization unveils blind spots in gene expression profiling.

Roca CP, Gomes SI, Amorim MJ, Scott-Fordsmand JJ.

Sci Rep. 2017 Mar 9;7:42460. doi: 10.1038/srep42460.

3.

Characterization of gene expression profiles in HBV-related liver fibrosis patients and identification of ITGBL1 as a key regulator of fibrogenesis.

Wang M, Gong Q, Zhang J, Chen L, Zhang Z, Lu L, Yu D, Han Y, Zhang D, Chen P, Zhang X, Yuan Z, Huang J, Zhang X.

Sci Rep. 2017 Mar 6;7:43446. doi: 10.1038/srep43446.

4.

Label-free data standardization for clinical metabolomics.

Lokhov PG, Maslov DL, Kharibin ON, Balashova EE, Archakov AI.

BioData Min. 2017 Feb 28;10:10. doi: 10.1186/s13040-017-0132-x.

5.

MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms.

Rohart F, Eslami A, Matigian N, Bougeard S, Lê Cao KA.

BMC Bioinformatics. 2017 Feb 27;18(1):128. doi: 10.1186/s12859-017-1553-8.

6.

The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome.

Pyfferoen L, Brabants E, Everaert C, De Cabooter N, Heyns K, Deswarte K, Vanheerswynghels M, De Prijck S, Waegemans G, Dullaers M, Hammad H, De Wever O, Mestdagh P, Vandesompele J, Lambrecht BN, Vermaelen KY.

Oncoimmunology. 2016 Nov 8;6(1):e1253655. doi: 10.1080/2162402X.2016.1253655.

7.

Extending Immunological Profiling in the Gilthead Sea Bream, Sparus aurata, by Enriched cDNA Library Analysis, Microarray Design and Initial Studies upon the Inflammatory Response to PAMPs.

Boltaña S, Castellana B, Goetz G, Tort L, Teles M, Mulero V, Novoa B, Figueras A, Goetz FW, Gallardo-Escarate C, Planas JV, Mackenzie S.

Int J Mol Sci. 2017 Feb 3;18(2). pii: E317. doi: 10.3390/ijms18020317.

8.

GFS: fuzzy preprocessing for effective gene expression analysis.

Belorkar A, Wong L.

BMC Bioinformatics. 2016 Dec 23;17(Suppl 17):540. doi: 10.1186/s12859-016-1327-8.

9.

Meta-analytic support vector machine for integrating multiple omics data.

Kim S, Jhong JH, Lee J, Koo JY.

BioData Min. 2017 Jan 26;10:2. doi: 10.1186/s13040-017-0126-8. Erratum in: BioData Min. 2017 Feb 14;10 :8.

10.

Syndecan-4 as a biomarker to predict clinical outcome for glioblastoma multiforme treated with WT1 peptide vaccine.

Takashima S, Oka Y, Fujiki F, Morimoto S, Nakajima H, Nakae Y, Nakata J, Nishida S, Hosen N, Tatsumi N, Mizuguchi K, Hashimoto N, Oji Y, Tsuboi A, Kumanogoh A, Sugiyama H.

Future Sci OA. 2016 Oct 3;2(4):FSO96. doi: 10.4155/fsoa-2015-0008.

11.

Renal Fibrosis mRNA Classifier: Validation in Experimental Lithium-Induced Interstitial Fibrosis in the Rat Kidney.

Marti HP, Jeffs A, Scherer A, Leader J, Leader C, Bedford J, Walker R.

PLoS One. 2016 Dec 21;11(12):e0168240. doi: 10.1371/journal.pone.0168240.

12.
13.

In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development.

Ozerov IV, Lezhnina KV, Izumchenko E, Artemov AV, Medintsev S, Vanhaelen Q, Aliper A, Vijg J, Osipov AN, Labat I, West MD, Buzdin A, Cantor CR, Nikolsky Y, Borisov N, Irincheeva I, Khokhlovich E, Sidransky D, Camargo ML, Zhavoronkov A.

Nat Commun. 2016 Nov 16;7:13427. doi: 10.1038/ncomms13427.

14.

Impact of RNA degradation on fusion detection by RNA-seq.

Davila JI, Fadra NM, Wang X, McDonald AM, Nair AA, Crusan BR, Wu X, Blommel JH, Jen J, Rumilla KM, Jenkins RB, Aypar U, Klee EW, Kipp BR, Halling KC.

BMC Genomics. 2016 Oct 20;17(1):814.

15.

Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli.

Kim M, Rai N, Zorraquino V, Tagkopoulos I.

Nat Commun. 2016 Oct 7;7:13090. doi: 10.1038/ncomms13090.

16.

Integrated Left Ventricular Global Transcriptome and Proteome Profiling in Human End-Stage Dilated Cardiomyopathy.

Colak D, Alaiya AA, Kaya N, Muiya NP, AlHarazi O, Shinwari Z, Andres E, Dzimiri N.

PLoS One. 2016 Oct 6;11(10):e0162669. doi: 10.1371/journal.pone.0162669.

17.

Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans.

Atienzar FA, Blomme EA, Chen M, Hewitt P, Kenna JG, Labbe G, Moulin F, Pognan F, Roth AB, Suter-Dick L, Ukairo O, Weaver RJ, Will Y, Dambach DM.

Biomed Res Int. 2016;2016:9737920. Review.

18.

Validation of RNAi Silencing Efficiency Using Gene Array Data shows 18.5% Failure Rate across 429 Independent Experiments.

Munkácsy G, Sztupinszki Z, Herman P, Bán B, Pénzváltó Z, Szarvas N, Győrffy B.

Mol Ther Nucleic Acids. 2016 Sep 27;5(9):e366. doi: 10.1038/mtna.2016.66.

19.

Standardization and quality management in next-generation sequencing.

Endrullat C, Glökler J, Franke P, Frohme M.

Appl Transl Genom. 2016 Jul 1;10:2-9. doi: 10.1016/j.atg.2016.06.001. Review.

20.

Quality Visualization of Microarray Datasets Using Circos.

Koch M, Wiese M.

Microarrays (Basel). 2012 Aug 7;1(2):84-94. doi: 10.3390/microarrays1020084.

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