Piotr Sobczyk

Computer Science · Physical Sciences

6h-index296citations34works2.02yr avg
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Research Topics

Bayesian Methods and Mixture Models(6), Machine Learning in Bioinformatics(6), Statistical Methods and Inference(5), Alzheimer's disease research and treatments(4), Advanced Proteomics Techniques and Applications(3)

Publications34 total

Sparse graphical modelling for global minimum variance portfolio
Computational Management Science·2025· 2 cited
Sparse Graphical Modelling via the Sorted L$_1$-Norm
arXiv (Cornell University)·2022· 3 citedOpen Access
Evaluation of Selected APIs for Emotion Recognition from Facial Expressions
Lecture notes in computer science·2022· 3 citedOpen Access
Hydraulika i pneumatyka. Zbiór zadań z rozwiązaniami
Wydawnictwo Naukowe PWN eBooks·2021
VARCLUST: clustering variables using dimensionality reduction
arXiv (Cornell University)·2020· 3 citedOpen Access
VARCLUST: clustering variables using dimensionality reduction
HAL (Le Centre pour la Communication Scientifique Directe)·2020· 1 citedOpen Access
Estimation of the severeness rate, death rate, household attack rate and the total number of COVID-19 cases based on 16 115 Polish surveillance records
2020· 3 citedOpen Access
N-Gram Analysis of Biological Sequences [R package biogram version 1.6.3]
2020
Estimation of the Severeness Rate, Death Rate, Household Attack Rate and the Total Number of COVID-19 Cases Based on 16115 Polish Surveillance Records
SSRN Electronic Journal·2020Open Access
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control
arXiv (Cornell University)·2019· 3 citedOpen Access
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control
Symmetry·2019· 9 citedOpen Access
Prediction of Signal Peptides in Proteins from Malaria Parasites
International Journal of Molecular Sciences·2018· 13 citedOpen Access
Predict Presence of Signal Peptides [R package signalHsmm version 1.5]
2018
Amyloidogenic motifs revealed by n-gram analysis
Scientific Reports·2017· 86 citedOpen Access
Bayesian Dimensionality Reduction With PCA Using Penalized Semi-Integrated Likelihood
Journal of Computational and Graphical Statistics·2017· 19 citedOpen Access
Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood
Figshare·2017Open Access
Bayesian Dimensionality Reduction With PCA Using Penalized Semi-Integrated Likelihood
Figshare·2017· 1 citedOpen Access
Controlling the Rate of GWAS False Discoveries
Genetics·2016· 133 citedOpen Access
Prediction of amyloidogenicity based on the n-gram analysis
2016Open Access
Prediction of amyloidogenicity based on the n-gram analysis
2016· 1 citedOpen Access
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Frequent Co-authors

Małgorzata Bogdan(14), Michał Burdukiewicz(11), Paweł Mackiewicz(6), Julie Josse(5), Damian Brzyski(4), Christine B. Peterson(4), Małgorzata Kotulska(4), Emmanuel J. Candès(3), Chiara Sabatti(3), Anna Duda-Madej(3), Chris Lauber(3), Stefan Rödiger(3), Stefan Rödiger(2), Sangkyun Lee(2), Stanislaw Wilczynski(2), Fabien Panloup(2), Barbara Adamik(2), Marek A. Bawiec(2), Viktor Bezborodov(2), Przemysław Biecek(2)