Attila Kertész‐Farkas

Author

National Research University Higher School of Economics ORCID

Also Known As

A Kertész-Farkas, A. Kertesz-Farkas, Attila Kertesz-Farkas, Attila Kertész-Farkas, Attila Kertész‐Farkas, Kertesz-Farkas, Attila

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

National Research University Higher School of Economics University of Szeged HUN-REN Szegedi Biológiai Kutatóközpont International Centre for Genetic Engineering and Biotechnology Hungarian Academy of Sciences

About

Attila Kertész‐Farkas is an author at National Research University Higher School of Economics specializing in medicine, proteomics, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	10	10	647
2	Engineering	8	8	292
3	Natural Sciences	3	3	373
4	Health Sciences	2	2	34
5	Applied Physiology	1	1	19

Attila Kertész‐Farkas

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Nuclear architecture dictates HIV-1 integration site selection Bruna Marini, Attila Kertész‐Farkas, Hashim Ali, Nature Virus StructureViral ReplicationNatural SciencesHuman RetrovirusMolecular Biology	2015	321
Test-time augmentation for deep learning-based cell segmentation on microscopy images Nikita Moshkov, Botond Mathe, Attila Kertész‐Farkas, Scientific Reports	2020	202
Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature Emily Doughty, Attila Kertész‐Farkas, Olivier Bodenreider, Bioinformatics	2010	110
Tandem Mass Spectrum Identification via Cascaded Search Attila Kertész‐Farkas, Uri Keich, William Stafford Noble Journal of Proteome Research EngineeringMolecular BiologySpectrum EstimationData SciencePattern Recognition	2015	96
Application of compression-based distance measures to protein sequence classification: a methodological study András Kocsor, Attila Kertész‐Farkas, László Kaján, Bioinformatics	2005	75
Improved False Discovery Rate Estimation Procedure for Shotgun Proteomics Uri Keich, Attila Kertész‐Farkas, William Stafford Noble Journal of Proteome Research Proteomic TechnologyFunctional GenomicsEngineeringMedicineOmics Datasets	2015	64
A Protein Classification Benchmark collection for machine learning Paolo Sonego, Mircea Pacurar, Sunny Dhir, Nucleic Acids Research EngineeringMachine LearningMachine Learning AlgorithmsMolecular BiologyBioinformatics Database	2006	49
Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification Yulia Danilova, Anastasia Voronkova, Pavel Sulimov, Journal of Proteome Research Peptide IdentificationTarget IdentificationBioanalysisIncorrect Spectrum AnnotationsBiostatistics	2019	31
Tailor: A Nonparametric and Rapid Score Calibration Method for Database Search-Based Peptide Identification in Shotgun Proteomics Pavel Sulimov, Attila Kertész‐Farkas Journal of Proteome Research	2020	30
Application of a simple likelihood ratio approximant to protein sequence classification László Kaján, Attila Kertész‐Farkas, Dino Franklin, Bioinformatics	2006	28

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