Piotr Fabian

发表

Heteroscedastic Discriminant Analysis Combined with Feature Selection for Credit Scoring

K. Stapor, Tomasz Smolarczyk, Piotr Fabian, 2016 .

SUPPLEMENT A

Mateusz Banach, Leszek Konieczny, Katarzyna Stapor, 2020 .

Downhill, Ultrafast and Fast Folding Proteins Revised

I. Roterman, M. Banach, L. Konieczny, 2020, International journal of molecular sciences.

The Structure of Amyloid Versus the Structure of Globular Proteins

I. Roterman, M. Banach, L. Konieczny, 2020, International journal of molecular sciences.

Different Synergy in Amyloids and Biologically Active Forms of Proteins

Mateusz Banach, Leszek Konieczny, Katarzyna Stapor, 2019, International journal of molecular sciences.

Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

Jeremi K. Ochab, W. Sommer, A. Bereś, 2022, Brain sciences.

Model of Early Stage Intermediate in Respect to Its Final Structure

I. Roterman, K. Stapor, Piotr Fabian, 2019, Biomolecules.

2 Machine learning approach to automatic recognition of emotions based on bioelectrical brain activity

K. Stapor, Piotr Fabian, K. Kotowski, 2020, Simulations in Medicine.

Connexins and Pannexins—Similarities and Differences According to the FOD-M Model

I. Roterman, L. Konieczny, K. Stapor, 2022, Biomedicines.

New insights into disordered proteins and regions according to the FOD-M model

I. Roterman, L. Konieczny, K. Stapor, 2022, PloS one.

Convolutional ProteinUnetLM competitive with long short‐term memory‐based protein secondary structure predictors

I. Roterman, K. Stapor, Piotr Fabian, 2022, Proteins.

In Silico Modeling of the Influence of Environment on Amyloid Folding Using FOD-M Model

I. Roterman, L. Konieczny, K. Stapor, 2021, International journal of molecular sciences.

Solubility and Aggregation of Selected Proteins Interpreted on the Basis of Hydrophobicity Distribution

I. Roterman, M. Banach, L. Konieczny, 2021, International journal of molecular sciences.

The Functional Significance of Hydrophobic Residue Distribution in Bacterial Beta-Barrel Transmembrane Proteins

I. Roterman, L. Konieczny, K. Stapor, 2021, Membranes.

Machine Learning Methods for the Protein Fold Recognition Problem

Irena Roterman-Konieczna, Katarzyna Stapor, Piotr Fabian, 2018, Machine Learning Paradigms.

On the Dependence of Prion and Amyloid Structure on the Folding Environment

I. Roterman, P. Nowakowski, L. Konieczny, 2021, International journal of molecular sciences.

On the need to introduce environmental characteristics in ab initio protein structure prediction using a coarse-grained UNRES force field.

Adam K. Sieradzan, I. Roterman, L. Konieczny, 2022, Journal of molecular graphics & modelling.

Dependence of Protein Structure on Environment: FOD Model Applied to Membrane Proteins

I. Roterman, P. Nowakowski, L. Konieczny, 2021, Membranes.

Model of Environmental Membrane Field for Transmembrane Proteins

I. Roterman, M. Banach, L. Konieczny, 2021, International journal of molecular sciences.

The Status of Edge Strands in Ferredoxin-Like Fold

Irena Roterman-Konieczna, Mateusz Banach, Leszek Konieczny, 2020, Symmetry.

Divergence Entropy-Based Evaluation of Hydrophobic Core in Aggressive and Resistant Forms of Transthyretin

Irena Roterman-Konieczna, Mateusz Banach, Leszek Konieczny, 2021, Entropy.

Classification of Protein Interactions Based on Sparse Discriminant Analysis and Energetic Features

Katarzyna Stapor, Piotr Fabian, K. Stapor, 2016, CISIM.

APPLICATION OF SPARSE LINEAR DISCRIMINANT ANALYSIS FOR PREDICTION OF PROTEIN-PROTEIN INTERACTIONS

Katarzyna Stąpor, Piotr Fabian, K. Stapor, 2016 .

Alternative Hydrophobic Core in Proteins - The Effect of Specific Synergy

Irena Roterman-Konieczna, Mateusz Banach, Leszek Konieczny, 2020, Symmetry.

Convolutional ProteinUnetLM competitive with LSTM-based protein secondary structure predictors

I. Roterman, K. Stapor, Piotr Fabian, 2022 .