 Connection
Debashis Ghosh to Algorithms
This is a "connection" page, showing publications Debashis Ghosh has written about Algorithms.
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Connection Strength |
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3.991 |
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Suresh K, Severn C, Ghosh D. Survival prediction models: an introduction to discrete-time modeling. BMC Med Res Methodol. 2022 07 26; 22(1):207.
Score: 0.510
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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: 0.337
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Zhan X, Patterson AD, Ghosh D. Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data. BMC Bioinformatics. 2015 Mar 11; 16:77.
Score: 0.306
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Poisson LM, Sreekumar A, Chinnaiyan AM, Ghosh D. Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data. Genomics. 2012 May; 99(5):265-74.
Score: 0.249
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Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
Score: 0.216
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Liu D, Lin X, Ghosh D. Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models. Biometrics. 2007 Dec; 63(4):1079-88.
Score: 0.185
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Ghosh D. Semiparametric inference for surrogate endpoints with bivariate censored data. Biometrics. 2008 Mar; 64(1):149-56.
Score: 0.180
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Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
Score: 0.179
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Ghosh D. Incorporating monotonicity into the evaluation of a biomarker. Biostatistics. 2007 Apr; 8(2):402-13.
Score: 0.169
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MacDonald JW, Ghosh D. COPA--cancer outlier profile analysis. Bioinformatics. 2006 Dec 01; 22(23):2950-1.
Score: 0.169
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Ghosh D. Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics. 2004 Jul 22; 20(11):1663-9.
Score: 0.142
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Severn C, Suresh K, G?rg C, Choi YS, Jain R, Ghosh D. A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features. Sensors (Basel). 2022 Jul 12; 22(14).
Score: 0.127
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Dekermanjian JP, Shaddox E, Nandy D, Ghosh D, Kechris K. Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics. BMC Bioinformatics. 2022 May 16; 23(1):179.
Score: 0.126
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Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes. PLoS Comput Biol. 2021 10; 17(10):e1008986.
Score: 0.121
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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: 0.121
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Warsavage T, Xing F, Bar?n AE, Feser WJ, Hirsch E, Miller YE, Malkoski S, Wolf HJ, Wilson DO, Ghosh D. Quantifying the incremental value of deep learning: Application to lung nodule detection. PLoS One. 2020; 15(4):e0231468.
Score: 0.109
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Jensen AM, Tregellas JR, Sutton B, Xing F, Ghosh D. Kernel machine tests of association between brain networks and phenotypes. PLoS One. 2019; 14(3):e0199340.
Score: 0.101
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Cho Y, Ghosh D. Weighted estimation of the accelerated failure time model in the presence of dependent censoring. PLoS One. 2015; 10(4):e0124381.
Score: 0.077
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Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
Score: 0.066
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Ghosh D, Elliott MR, Taylor JM. Links between analysis of surrogate endpoints and endogeneity. Stat Med. 2010 Dec 10; 29(28):2869-79.
Score: 0.057
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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: 0.054
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Ghosh D. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm. Biometrics. 2009 Jun; 65(2):521-9.
Score: 0.051
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Ghosh D. Penalized discriminant methods for the classification of tumors from gene expression data. Biometrics. 2003 Dec; 59(4):992-1000.
Score: 0.035
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Ahmadian M, Rickert C, Minic A, Wrobel J, Bitler BG, Xing F, Angelo M, Hsieh EWY, Ghosh D, Jordan KR. A platform-independent framework for phenotyping of multiplex tissue imaging data. PLoS Comput Biol. 2023 09; 19(9):e1011432.
Score: 0.035
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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: 0.034
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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: 0.034
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Zhuang Y, Xing F, Ghosh D, Hobbs BD, Hersh CP, Banaei-Kashani F, Bowler RP, Kechris K. Deep learning on graphs for multi-omics classification of COPD. PLoS One. 2023; 18(4):e0284563.
Score: 0.034
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Czaja AS, Collins K, Valuck RJ, Anderson HD, Ghosh D, Davidson JA. Validity of administrative claims-based algorithms for ventricular arrhythmia and cardiac arrest in the pediatric population. Pharmacoepidemiol Drug Saf. 2020 11; 29(11):1499-1503.
Score: 0.027
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Xing F, Cornish TC, Bennett T, Ghosh D, Yang L. Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images. IEEE Trans Biomed Eng. 2019 11; 66(11):3088-3097.
Score: 0.025
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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: 0.022
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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: 0.018
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Lee Y, Ghosh D, Hardison RC, Zhang Y. MRHMMs: multivariate regression hidden Markov models and the variantS. Bioinformatics. 2014 Jun 15; 30(12):1755-6.
Score: 0.018
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Choi H, Fermin D, Nesvizhskii AI, Ghosh D, Qin ZS. Sparsely correlated hidden Markov models with application to genome-wide location studies. Bioinformatics. 2013 Mar 01; 29(5):533-41.
Score: 0.016
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Chen W, Ghosh D, Raghunathan TE, Sargent DJ. A false-discovery-rate-based loss framework for selection of interactions. Stat Med. 2008 May 20; 27(11):2004-21.
Score: 0.012
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Yu J, Yu J, Almal AA, Dhanasekaran SM, Ghosh D, Worzel WP, Chinnaiyan AM. Feature selection and molecular classification of cancer using genetic programming. Neoplasia. 2007 Apr; 9(4):292-303.
Score: 0.011
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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: 0.011
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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: 0.010
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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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