Hruška Miroslav PhD
Akademický titul:
Ing.
E-mail:
miroslav.hruska@upol.cz
Skupiny:
PŘÍRODOVĚDECKÁ FAKULTA, ÚMTM, LEM, POSTDOKTORSKÝ STUDENT, PERSONÁL
O mně
A computer scientist working in the field of computational proteomics, working particularly on the detection of peptides and their various forms using shotgun proteomics data. My professional interests include mathematical modelling, use of Bayesian approaches, mathematical and computational optimization, high-performance computing, machine learning, and interaction with AI systems. Beside that, I enjoy doing various sports, such as, inline skating, or slackline. I also like to create music, most often in an improvised manner.
Journals
Evaluation of an integrative Bayesian peptide detection approach on a combinatorial peptide library.
European Journal of Mass Spectrometry.
2022,
27(6),
217-234,
ISSN: 1469-0667,
PMID: 34989269,
A complete search of combinatorial peptide library greatly benefited from probabilistic incorporation of prior knowledge.
International Journal of Mass Spectrometry.
2022,
471,
116723,
ISSN: 1387-3806,
PDF.
Intellectual property
METHOD OF IDENTIFICATION OF ENTITIES FROM MASS SPECTRA (Hruška)
- Published Application EP 18184710.4 under EP 3598135 (22.1.2020)
- Published Application PCT/EP2019/069552 under WO 2020/016428 (23.1.2020)
- Published Application EP 19746050.4 under EP3824292 (26.5.2021)
- Patent: JP 7218019. Granted: 27.1.2023. Ownership: Palacký University Olomouc. Inventors: Hruška Miroslav, Hajdúch Marián
Status: Patents pending, Available
METHOD OF DIAGNOSIS AND/OR PROGNOSIS AND/OR PREDICTION OF THERAPEUTIC RESPONSE OF NEOPLASTIC DISEASES (Varanasi)
- Published Application EP 16153221.3 under EP 3199949 (2.8.2017)
- Published Application PCT/CZ2017/050003 under WO 2017/129154 (3.8.2017)
Status: Terminated