activity
20192022
collaborators

5 papers

q-bio.BM2022

Succinct Amyloid and Non-Amyloid Patterns in Hexapeptides

Laszlo Keresztes, Evelin Szogi, Balint Varga +3

Hexapeptides are widely applied as a model system for studying amyloid-forming properties of polypeptides, including proteins. Recently, large experimental databases have become pu…

q-bio.NC2021

Discovering Sex and Age Implicator Edges in the Human Connectome

Laszlo Keresztes, Evelin Szogi, Balint Varga +1

Determining important vertices in large graphs (e.g., Google's PageRank in the case of the graph of the World Wide Web) facilitated the construction of excellent web search engines…

q-bio.BM2020

The Budapest Amyloid Predictor and its Applications

Laszlo Keresztes, Evelin Szogi, Balint Varga +3

The amyloid state of proteins is widely studied with relevancy in neurology, biochemistry, and biotechnology. In contrast with amorphous aggregation, the amyloid state has a well-d…

q-bio.NC2020

Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org

Laszlo Keresztes, Evelin Szogi, Balint Varga +1

Gaussian blurring is a well-established method for image data augmentation: it may generate a large set of images from a small set of pictures for training and testing purposes for…

q-bio.NC2019

Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph

Laszlo Keresztes, Evelin Szogi, Balint Varga +1

For more than a decade now, we can discover and study thousands of cerebral connections with the application of diffusion magnetic resonance imaging (dMRI) techniques and the accom…