Carbonell JG - Search Results

Year	Number of Results
1981	1
2005	1
2009	1
2010	3
2011	2
2014	1
2015	1
2017	1
2019	2
2020	1
2021	2
2022	2
2025	0

1

Post-intervention Status in Patients With Refractory Myasthenia Gravis Treated With Eculizumab During REGAIN and Its Open-Label Extension.

Mantegazza R, Wolfe GI, Muppidi S, Wiendl H, Fujita KP, O'Brien FL, Booth HDE, Howard JF Jr; REGAIN Study Group. Mantegazza R, et al. Neurology. 2021 Jan 26;96(4):e610-e618. doi: 10.1212/WNL.0000000000011207. Epub 2020 Nov 23. Neurology. 2021. PMID: 33229455 Free PMC article. Clinical Trial.

2

Eculizumab in refractory generalized myasthenia gravis previously treated with rituximab: subgroup analysis of REGAIN and its extension study.

Siddiqi ZA, Nowak RJ, Mozaffar T, O'Brien F, Yountz M, Patti F; REGAIN Study Group. Siddiqi ZA, et al. Muscle Nerve. 2021 Dec;64(6):662-669. doi: 10.1002/mus.27422. Epub 2021 Oct 14. Muscle Nerve. 2021. PMID: 34590717 Clinical Trial.

3

Steps toward knowledge-based machine translation.

Carbonell JG, Cullingford RE, Gershman AV. Carbonell JG, et al. IEEE Trans Pattern Anal Mach Intell. 1981 Apr;3(4):376-92. doi: 10.1109/tpami.1981.4767124. IEEE Trans Pattern Anal Mach Intell. 1981. PMID: 21868959

4

Data-Driven Approach to Multiple-Source Domain Adaptation.

Stojanov P, Gong M, Carbonell JG, Zhang K. Stojanov P, et al. Among authors: carbonell jg. Proc Mach Learn Res. 2019 Apr;89:3487-3496. Proc Mach Learn Res. 2019. PMID: 31497777 Free PMC article.

5

Protein classification based on text document classification techniques.

Cheng BY, Carbonell JG, Klein-Seetharaman J. Cheng BY, et al. Among authors: carbonell jg. Proteins. 2005 Mar 1;58(4):955-70. doi: 10.1002/prot.20373. Proteins. 2005. PMID: 15645499

6

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction.

Stojanov P, Gong M, Carbonell JG, Zhang K. Stojanov P, et al. Among authors: carbonell jg. Proc Mach Learn Res. 2019 Apr;89:3449-3458. Proc Mach Learn Res. 2019. PMID: 31497776 Free PMC article.

7

Multitask Matrix Completion for Learning Protein Interactions Across Diseases.

Kshirsagar M, Murugesan K, Carbonell JG, Klein-Seetharaman J. Kshirsagar M, et al. Among authors: carbonell jg. J Comput Biol. 2017 Jun;24(6):501-514. doi: 10.1089/cmb.2016.0201. Epub 2017 Jan 27. J Comput Biol. 2017. PMID: 28128642

8

Prediction of interactions between HIV-1 and human proteins by information integration.

Tastan O, Qi Y, Carbonell JG, Klein-Seetharaman J. Tastan O, et al. Among authors: carbonell jg. Pac Symp Biocomput. 2009:516-27. Pac Symp Biocomput. 2009. PMID: 19209727 Free PMC article.

9

Learning generative models for protein fold families.

Balakrishnan S, Kamisetty H, Carbonell JG, Lee SI, Langmead CJ. Balakrishnan S, et al. Among authors: carbonell jg. Proteins. 2011 Apr;79(4):1061-78. doi: 10.1002/prot.22934. Epub 2011 Jan 25. Proteins. 2011. PMID: 21268112

10

Active machine learning for transmembrane helix prediction.

Osmanbeyoglu HU, Wehner JA, Carbonell JG, Ganapathiraju MK. Osmanbeyoglu HU, et al. Among authors: carbonell jg. BMC Bioinformatics. 2010 Jan 18;11 Suppl 1(Suppl 1):S58. doi: 10.1186/1471-2105-11-S1-S58. BMC Bioinformatics. 2010. PMID: 20122233 Free PMC article.

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