A5014140856- Machine Learning in Bioinformatics
- Machine Learning and Data Classification
- Language and cultural evolution
- Child and Animal Learning Development
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Evolutionary Algorithms and Applications
- Action Observation and Synchronization
- Microbial Metabolic Engineering and Bioproduction
- Child Development and Digital Technology
- Reading and Literacy Development
- Genomics and Rare Diseases
- Imbalanced Data Classification Techniques
- Epigenetics and DNA Methylation
- COVID-19 and Mental Health
- Cognitive Science and Mapping
- Mental Health Research Topics
- Microbial Metabolism and Applications
- Computational Drug Discovery Methods
- Language, Metaphor, and Cognition
- Semantic Web and Ontologies
- Distributed and Parallel Computing Systems
University of Warsaw
2015-2023
Jagiellonian University
2018-2022
Institute of Psychology
2018-2022
Polish Academy of Sciences
2013-2016
Institute of Computer Science
2013-2016
Warsaw University of Technology
2011-2012
Protein–protein interactions are important for the majority of biological processes. A significant number computational methods have been developed to predict protein–protein using protein sequence, structural and genomic data. Vast experimental data is publicly available on Internet, but it scattered across numerous databases. This fact motivated us create evaluate new high-throughput datasets interacting proteins. We extracted interaction from DIP, MINT, BioGRID IntAct Then we constructed...
The present pandemic forced our daily interactions to move into the virtual world. People had adapt new communication media that afford different ways of interaction. Remote decreases availability and salience some cues but also may enable highlight others. Importantly, basic movement dynamics, which are crucial for any interaction as they responsible informational affective coupling, affected. It is therefore essential discover exactly how these dynamics change. In this exploratory study...
This study focuses on the role of numerous cognitive skills such as phonological awareness (PA), rapid automatized naming (RAN), visual and selective attention, auditory skills, implicit learning in developmental dyslexia. We examined (co)existence deficits dyslexia assessed skills' predictive value for reading. First, we compared school-aged children with severe reading impairment (n = 51) to typical readers 71) explore individual patterns Children dyslexia, a group, presented low PA RAN...
A short-term longitudinal study explored the relation between psychological understanding of self (the self, PS) and other people (advanced theory mind, aToM) during adolescenc...
Accurate identification of protein–protein interactions (PPI) is the key step in understanding proteins' biological functions, which are typically context-dependent. Many existing PPI predictors rely on aggregated features from protein sequences, however only a few methods exploit local information about specific residue contacts. In this work we present two-stage machine learning approach for prediction interactions. We start with carefully filtered data complexes available Saccharomyces...
We describe a method for assessing data set complexity based on the estimation of underlining probability distribution and Hellinger distance. In contrast to some popular measures, it is not focused shape decision boundary in classification task but amount available with respect attribute structure. Complexity expressed terms graphical plot, which we call curve. It demonstrates relative increase information growth sample size. perform theoretical experimental examination properties...
Most of our perceptions and engagements with the world are shaped by immersion in social interactions, cultural traditions, tools linguistic categories. In this study we experimentally investigate impact two types language-based coordination on recognition description complex sensory stimuli: that red wine. Participants were asked to taste, remember successively recognize samples wines within a larger set two-by-two experimental design: 1) either individually or pairs, 2) without support...
The prediction of domain/linker residues in protein sequences is a crucial task the functional classification proteins, homology-based structure prediction, and high-throughput structural genomics. In this work, novel consensus-based machine-learning technique was applied for residue-level annotations using ordered/disordered regions along chains set physicochemical properties. Six different classifiers—decision tree, Gaussian naïve Bayes, linear discriminant analysis, support vector...
This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose training regime implementing template transfer, the idea of carrying over learned biases across contexts. In our method, sender-receiver pair is first trained with disentangled loss functions and then receiver transferred train new sender standard loss. Unlike other methods (e.g. obverter algorithm), does not require imposing inductive on architecture agents....
The radical embodied approach to cognition directs researchers' attention skilled practice in a structured environment. This means that the structures present environment, including interactions with others and artifacts, are put at least on par individual cognitive processes explaining behavior. Both ritualized interactive formats artifacts can be seen as forms of "external memory," usually shaped for particular domain, constrain practice, perception, online behavior learning development....
Background. Recent epigenomic studies have shown that the length of a DNA region covered by an epigenetic mark is not just byproduct assaying technologies and has functional implications for locus. For example, expanded regions sequences are marked enhancer-specific histone modifications, such as acetylation H3 lysine 27 (H3K27ac) domains coincide with cell-specific enhancers, known super or stretch enhancers. Similarly, promoters genes critical functions H3K4me3 in cognate cell type, these...
This paper explores how information flow properties of a network affect the formation categories shared between individuals, who are communicating through that network. Our work is based on established multi-agent model emergence linguistic grounded in external environment. We study propagation efficiency and direction categorization by performing simulations with idealized topologies optimizing certain centrality measures. measure dynamic social adaptation when either topology or...
Compositionality is an important explanatory target in emergent communication and language evolution. The vast majority of computational models account for the emergence only a very basic form compositionality: trivial compositionality. A compositional protocol trivially if meaning complex signal (e.g. blue circle) boils down to intersection meanings its constituents set objects circles). non-trivially (NTC) biggest apple) more function their constituents. In this paper, we review several...
This study aims to investigate how daily activities affect mood in the context of social distancing guidelines enforced during COVID-19 pandemic. Using Ecological Momentary Assessment (EMA) administered four times a day 2-week period, we asked participants (N = 91) about their and they engaged in. Seven individuals were selected for follow-up, open-ended questionnaire. Results show that stable routine, including physical exercise, hobbies, regular sleep hours, minimal time spent front...
The current research aims at constructing a developmentally sensitive mindreading scale (i.e., battery of tasks measuring different aspects ability in children from 1 to 3.5 years age). Over 300 Polish were tested six-month intervals with 48 designed measure (for total six measurement occasions, T1-T6; NT1 = 357; MageT1 52,30 weeks; SD 1,73; 201 (56%) boys, 156 (44%) girls). Using latent trait modelling, factor was established. Support found for satisfactory reliability the that ultimately...
Abstract In this paper, we explore interaction history as a particular source of pressure for achieving emergent compositional communication in multi-agent systems. We propose training regime implementing template transfer, the idea carrying over learned biases across contexts. presented method, sender-receiver dyad is first trained with disentangled pair objectives, and then receiver transferred to train new sender standard objective. Unlike other methods (e.g. obverter algorithm), transfer...
The identification of functional sequence variations in regulatory DNA regions is one the major challenges modern genetics. Here, we report results a combined multifactor analysis properties characterizing variants located promoter genes.We demonstrate that GC-content local fragments and shape features play significant role prioritization outscore related to histone modifications, transcription factors binding sites, or evolutionary conservation descriptors. Those observations allowed us...