2 citations · 4 across the 5 of their papers we have counts for
7 papers
SCARF: A Biomedical Association Rule Finding Webserver
Balazs Szalkai, Vince Grolmusz
The analysis of enormous datasets with missing data entries is a standard task in biological and medical data processing. Large-scale, multi-institution clinical studies are the ty…
SECLAF: A Webserver and Deep Neural Network Design Tool for Biological Sequence Classification
Balazs Szalkai, Vince Grolmusz
Artificial intelligence (AI) tools are gaining more and more ground each year in bioinformatics. Learning algorithms can be taught easily by using the existing enormous biological…
Near Perfect Protein Multi-Label Classification with Deep Neural Networks
Balazs Szalkai, Vince Grolmusz
Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and c…
Life without dUTPase
Csaba Kerepesi, Judit E. Szabó, Vince Grolmusz +1
Fine-tuned regulation of the cellular nucleotide pools is indispensable for faithful replication of DNA. The genetic information is also safeguarded by DNA damage recognition and r…
The "Giant Virus Finder" Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys
Csaba Kerepesi, Vince Grolmusz
The first giant virus was identified in 2003 from a biofilm of an industrial water-cooling tower in England. Later, numerous new giant viruses were found in oceans and freshwater h…
Giant Viruses of the Kutch Desert
Csaba Kerepesi, Vince Grolmusz
The Kutch desert (Great Rann of Kutch, Gujarat, India) is a unique ecosystem: in the larger part of the year it is a hot, salty desert that is flooded regularly in the Indian monso…
Identifying Combinatorial Biomarkers by Association Rule Mining in the CAMD Alzheimer's Database
Balazs Szalkai, Vince K. Grolmusz, Vince I. Grolmusz +1
Background: The concept of combinatorial biomarkers was conceived around 2010: it was noticed that simple biomarkers are often inadequate for recognizing and characterizing complex…