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Temporal dynamics and genetic control of transcription in the human prefrontal cortex
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Colantuoni C, Lipska BK, Ye T, Hyde TM, Tao R, Leek JT, Colantuoni EA, Elkahloun AG, Herman MM, Weinberger DR, Kleinman JE. (2011) Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Nature 478(7370):519-523
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Matrix factorisation methods applied in microarray data analysis
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Kossenkov AV, Ochs MF. (2010) Matrix factorisation methods applied in microarray data analysis. Int J Data Min Bioinform 4(1): 72-90
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Application of bayesian decomposition for analysing microarray data
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Moloshok TD, Klevecz RR, Grant JD, Manion FJ, Speier WF 4th, Ochs MF. (2002) Application of bayesian decomposition for analysing microarray data. Bioinformatics 18(4):566-575
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Bioinformatics
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Moloshok, T.D.1
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Speier IV, W.F.5
Ochs, M.F.6
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6
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71549130141
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Detection of treatment-induced changes in signaling pathways in gastrointestinal stromal tumors using transcriptomic data
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MF Ochs, Rink L, Tarn C, Mburu S, Taguchi T, Eisenberg B, Godwin AK. (2009) Detection of treatment-induced changes in signaling pathways in gastrointestinal stromal tumors using transcriptomic data. Cancer Res 69(23): 9125-9132
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Cancer Res
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Ochs, M.F.1
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Eisenberg, B.6
Godwin, A.K.7
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7
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77958479692
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CoGAPS: An R/C++ package to identify patterns and biological process activity in transcriptomic data
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Fertig EJ, Ding J, Favorov AV, Parmigiani G, Ochs MF. (2010) CoGAPS: An R/C++ package to identify patterns and biological process activity in transcriptomic data. Bioinformatics 26(21):2792-2793
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Bioinformatics
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Fertig, E.J.1
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Ochs, M.F.5
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8
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84861832789
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Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma
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Fertig EJ, Ren Q, Cheng H, Hatakeyama H, Dicker AP, Rodeck U, Considine M, Ochs MF, Chung CH. (2012) Gene expression signatures modulated by epidermal growth factor receptor activation and their relationship to cetuximab resistance in head and neck squamous cell carcinoma. BMC Genom 13:160
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BMC Genom
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Fertig, E.J.1
Ren, Q.2
Cheng, H.3
Hatakeyama, H.4
Dicker, A.P.5
Rodeck, U.6
Considine, M.7
Ochs, M.F.8
Chung, C.H.9
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9
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8844253931
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Clutrfree: Cluster tree visualization and interpretation
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Bidaut G, Ochs MF. (2004) Clutrfree: Cluster tree visualization and interpretation. Bioinformatics 20(16):2869-2871
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Bioinformatics
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Bidaut, G.1
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10
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Determination of strongly overlapping signaling activity from microarray data
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Bidaut G, Suhre K, Claverie J-M, Ochs MF. (2006) Determination of strongly overlapping signaling activity from microarray data. BMC Bioinformatics 7:99
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BMC Bioinformatics
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Bidaut, G.1
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11
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48249151183
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Nonnegative matrix factorization: An analytical and interpretive tool in computational biology
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Devarajan K. (2008) Nonnegative matrix factorization: An analytical and interpretive tool in computational biology. PLoS Comput Biol 4(7):e1000029
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PLoS Comput Biol
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Devarajan, K.1
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Learning the parts of objects by non-negative matrix factorization
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Lee, D.D.1
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A new method for spectral decomposition using a bilinear bayesian approach
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Ochs MF, Stoyanova RS, Arias-Mendoza F, Brown TR. (1999) A new method for spectral decomposition using a bilinear bayesian approach. J Magn Reson 137(1):161-176
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Ochs, M.F.1
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14
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Bayesian decomposition
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Parmigiani G, Garrett ES, Irizarry RA, Zeger SL (eds Springer, New York
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Ochs MF. (2003) Bayesian decomposition. In: Parmigiani G, Garrett ES, Irizarry RA, Zeger SL (eds) The analysis of gene expression data: Methods and software. Springer, New York
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The analysis of gene expression data: Methods and software
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Ochs, M.F.1
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15
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Prior distributions on measure space
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JAGS: A program for analysis of bayesian graphical models using gibbs sampling
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Hornik K, Leisch F, Zeileis A (eds, Vienna, Austria, March
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Plummer M. (2003) JAGS: A program for analysis of bayesian graphical models using gibbs sampling. In: Hornik K, Leisch F, Zeileis A (eds) Proceedings of the 3rd international workshop on distributed statistical computing, Vienna, Austria, March 20-22
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Capturing heterogeneity in gene expression studies by surrogate variable analysis
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Leek JT, Storey JD. (2007) Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet 3(9):1724-1735
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Determining transcription factor activity from microarray data using bayesian markov chain monte carlo sampling
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Kossenkov AV, Peterson AJ, Ochs MF. (2007) Determining transcription factor activity from microarray data using Bayesian Markov chain Monte Carlo sampling. Stud Health Technol Inform 129(Pt 2):1250-1254
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Ls-nmf: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
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Wang G, Kossenkov AV, Ochs MF. (2006) Ls-nmf: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates. BMC Bioinformatics 7:175
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Gene ontology: Tool for the unification of biology. The gene ontology consortium
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Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. (2000) Gene ontology: Tool for the unification of biology. the gene ontology consortium. Nat Genet 25(1):25-29
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Submitted
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Fertig EJ, Markova A, Danilova LV, Gaykalova DA, Cope L, Chung CH, Califano JA, Ochs MF. (2013) Epigenetically driven expression changes define HNSCC clinical subtypes and GLI1 activity is specific to HPV-negative HNSCC. Submitted
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Epigenetically Driven Expression Changes Define Hnscc Clinical Subtypes And Gli1 Activity Is Specific To Hpv-Negative Hnscc
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Fertig, E.J.1
Markova, A.2
Danilova, L.V.3
Gaykalova, D.A.4
Cope, L.5
Chung, C.H.6
Califano, J.A.7
Ochs, M.F.8
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