Kertész-Farkas A - Search Results

1

GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation.

Chereshnev R, Kertész-Farkas A. Chereshnev R, et al. Among authors: kertesz farkas a. Sensors (Basel). 2018 Nov 26;18(12):4146. doi: 10.3390/s18124146. Sensors (Basel). 2018. PMID: 30486308 Free PMC article.

2

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Doughty E, Kertesz-Farkas A, Bodenreider O, Thompson G, Adadey A, Peterson T, Kann MG. Doughty E, et al. Bioinformatics. 2011 Feb 1;27(3):408-15. doi: 10.1093/bioinformatics/btq667. Epub 2010 Dec 7. Bioinformatics. 2011. PMID: 21138947 Free PMC article.

3

LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification.

Filatov G, Bauwens B, Kertész-Farkas A. Filatov G, et al. Bioinformatics. 2018 Oct 1;34(19):3281-3288. doi: 10.1093/bioinformatics/bty349. Bioinformatics. 2018. PMID: 29741583

4

Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics.

Sulimov P, Voronkova A, Kertész-Farkas A. Sulimov P, et al. Among authors: kertesz farkas a. Bioinformatics. 2020 Jun 1;36(12):3781-3787. doi: 10.1093/bioinformatics/btaa206. Bioinformatics. 2020. PMID: 32207518

5

Tailor: A Nonparametric and Rapid Score Calibration Method for Database Search-Based Peptide Identification in Shotgun Proteomics.

Sulimov P, Kertész-Farkas A. Sulimov P, et al. Among authors: kertesz farkas a. J Proteome Res. 2020 Apr 3;19(4):1481-1490. doi: 10.1021/acs.jproteome.9b00736. Epub 2020 Mar 25. J Proteome Res. 2020. PMID: 32175744

6

Application of compression-based distance measures to protein sequence classification: a methodological study.

Kocsor A, Kertész-Farkas A, Kaján L, Pongor S. Kocsor A, et al. Bioinformatics. 2006 Feb 15;22(4):407-12. doi: 10.1093/bioinformatics/bti806. Epub 2005 Nov 29. Bioinformatics. 2006. PMID: 16317070

7

Application of a simple likelihood ratio approximant to protein sequence classification.

Kaján L, Kertész-Farkas A, Franklin D, Ivanova N, Kocsor A, Pongor S. Kaján L, et al. Bioinformatics. 2006 Dec 1;22(23):2865-9. doi: 10.1093/bioinformatics/btl512. Epub 2006 Nov 7. Bioinformatics. 2006. PMID: 17090576

8

PTMTreeSearch: a novel two-stage tree-search algorithm with pruning rules for the identification of post-translational modification of proteins in MS/MS spectra.

Kertész-Farkas A, Reiz B, Vera R, Myers MP, Pongor S. Kertész-Farkas A, et al. Bioinformatics. 2014 Jan 15;30(2):234-41. doi: 10.1093/bioinformatics/btt642. Epub 2013 Nov 8. Bioinformatics. 2014. PMID: 24215026

9

Benchmarking protein classification algorithms via supervised cross-validation.

Kertész-Farkas A, Dhir S, Sonego P, Pacurar M, Netoteia S, Nijveen H, Kuzniar A, Leunissen JA, Kocsor A, Pongor S. Kertész-Farkas A, et al. J Biochem Biophys Methods. 2008 Apr 24;70(6):1215-23. doi: 10.1016/j.jbbm.2007.05.011. Epub 2007 May 31. J Biochem Biophys Methods. 2008. PMID: 17604112

10

Chemical rule-based filtering of MS/MS spectra.

Reiz B, Kertész-Farkas A, Pongor S, Myers MP. Reiz B, et al. Bioinformatics. 2013 Apr 1;29(7):925-32. doi: 10.1093/bioinformatics/btt061. Epub 2013 Feb 15. Bioinformatics. 2013. PMID: 23418188

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