 Connection
Debashis Ghosh to Computational Biology
This is a "connection" page, showing publications Debashis Ghosh has written about Computational Biology.
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Connection Strength |
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1.425 |
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Zhan X, Girirajan S, Zhao N, Wu MC, Ghosh D. A novel copy number variants kernel association test with application to autism spectrum disorders studies. Bioinformatics. 2016 12 01; 32(23):3603-3610.
Score: 0.408
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Ghosh D, Poisson LM. "Omics" data and levels of evidence for biomarker discovery. Genomics. 2009 Jan; 93(1):13-6.
Score: 0.236
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Simon OB, Buard I, Rojas DC, Holden SK, Kluger BM, Ghosh D. A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography. Sci Rep. 2021 10 05; 11(1):19704.
Score: 0.146
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Choi H, Ghosh D, Qin Z. Computationally Tractable Multivariate HMM in Genome-Wide Mapping Studies. Methods Mol Biol. 2017; 1552:135-148.
Score: 0.105
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Jiang W, Ghosh D. Motion and flexibility in human cytochrome p450 aromatase. PLoS One. 2012; 7(2):e32565.
Score: 0.075
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Choi H, Qin ZS, Ghosh D. A double-layered mixture model for the joint analysis of DNA copy number and gene expression data. J Comput Biol. 2010 Feb; 17(2):121-37.
Score: 0.065
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Brinkmeier ML, Davis SW, Carninci P, MacDonald JW, Kawai J, Ghosh D, Hayashizaki Y, Lyons RH, Camper SA. Discovery of transcriptional regulators and signaling pathways in the developing pituitary gland by bioinformatic and genomic approaches. Genomics. 2009 May; 93(5):449-60.
Score: 0.061
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Rhodes DR, Kalyana-Sundaram S, Mahavisno V, Varambally R, Yu J, Briggs BB, Barrette TR, Anstet MJ, Kincead-Beal C, Kulkarni P, Varambally S, Ghosh D, Chinnaiyan AM. Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles. Neoplasia. 2007 Feb; 9(2):166-80.
Score: 0.053
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Chang ST, Ghosh D, Kirschner DE, Linderman JJ. Peptide length-based prediction of peptide-MHC class II binding. Bioinformatics. 2006 Nov 15; 22(22):2761-7.
Score: 0.051
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Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data. BMC Bioinformatics. 2005 Feb 10; 6:26.
Score: 0.046
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Smolkin M, Ghosh D. Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics. 2003 Sep 06; 4:36.
Score: 0.042
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Ghosh D, Barette TR, Rhodes D, Chinnaiyan AM. Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer. Funct Integr Genomics. 2003 Dec; 3(4):180-8.
Score: 0.041
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Rao S, Ghosh D, Asturias EJ, Weinberg A. What can we learn about influenza infection and vaccination from transcriptomics? Hum Vaccin Immunother. 2019; 15(11):2615-2623.
Score: 0.031
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Lee Y, Ghosh D, Zhang Y. Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells. BMC Genomics. 2014 May 12; 15:360.
Score: 0.022
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Gudjonsson JE, Ding J, Li X, Nair RP, Tejasvi T, Qin ZS, Ghosh D, Aphale A, Gumucio DL, Voorhees JJ, Abecasis GR, Elder JT. Global gene expression analysis reveals evidence for decreased lipid biosynthesis and increased innate immunity in uninvolved psoriatic skin. J Invest Dermatol. 2009 Dec; 129(12):2795-804.
Score: 0.016
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Davis SW, Potok MA, Brinkmeier ML, Carninci P, Lyons RH, MacDonald JW, Fleming MT, Mortensen AH, Egashira N, Ghosh D, Steel KP, Osamura RY, Hayashizaki Y, Camper SA. Genetics, gene expression and bioinformatics of the pituitary gland. Horm Res. 2009 Apr; 71 Suppl 2:101-15.
Score: 0.015
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Rhodes DR, Kalyana-Sundaram S, Tomlins SA, Mahavisno V, Kasper N, Varambally R, Barrette TR, Ghosh D, Varambally S, Chinnaiyan AM. Molecular concepts analysis links tumors, pathways, mechanisms, and drugs. Neoplasia. 2007 May; 9(5):443-54.
Score: 0.013
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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