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Developing artificial intelligence tools for solving bionformatical problems
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Here you can view and search the projects funded by NKFI since 2004
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Szalkai B, Grolmusz V: MetaHMM: A webserver for identifying novel genes with specified functions in metagenomic samples, GENOMICS 111: (4) pp. 883-885., 2019 | Szalkai B, Varga B, Grolmusz V: Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method, BRAIN IMAGING AND BEHAVIOR 13: (5) pp. 1185-1192., 2019 | Takács K., Varga B., Grolmusz V.: PDB_Amyloid: an extended live amyloid structure list from the PDB, FEBS OPEN BIO 9: (1) pp. 185-190., 2019 | László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: Succinct Amyloid and Non-Amyloid Patterns in Hexapeptides, ACS Omega Vol. 7, No. 40, 35532-35537, 2022 | Laszlo Keresztes, Evelin Szogi, Balint Varga, Vince Grolmusz: Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph, Cognitive Neurodynamics, Vol. 15. No. 6. pp. 949-959, 2021 | Kristof Takacs, Vince Grolmusz: The multiple alignments of very short sequences, FASEB BioAdvances 2021;3:523-530, 2021 | Balint Varga, Vince Grolmusz: The braingraph.org Database with more than 1000 Robust HumanStructural Connectomes in Five Resolutions, Cognitive Neurodynamics Vol. 15 No. 5, pp. 915-919,, 2021 | Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Graph of our Mind, Brain Sciences Vol. 11, No. 3. 342, 2021 | Lászlo Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: The Budapest Amyloid Predictor and its Applications, Biomolecules, 11(4) 500,, 2021 | Kristóf Takács, Vince Grolmusz: On the Border of the Amyloidogenic Sequences: Prefix Analysis of the Parallel Beta Sheets in the PDB_Amyloid Collection, Journal of Integrative Bioinformatics, 2021 | Szalkai B, Varga B, Grolmusz V: Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method, BRAIN IMAGING AND BEHAVIOR 13: (5) pp. 1185-1192., 2019 | Takács K., Varga B., Grolmusz V.: PDB_Amyloid: an extended live amyloid structure list from the PDB, FEBS OPEN BIO 9: (1) pp. 185-190., 2019 | Fellner Máté, Varga Bálint, Grolmusz Vince: The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females, PLOS ONE 15: (1) e0227910, 2020 | Fellner Máté, Varga Bálint, Grolmusz Vince: Good neighbors, bad neighbors: the frequent network neighborhood mapping of the hippocampus enlightens several structural factors of the human intelligence, SCIENTIFIC REPORTS 10: (1) 11967, 2020 | Balázs Szalkai, Vince Grolmusz: SCARF: A Biomedical Association Rule Finding Webserver,, Journal of Integrative Bioinformatics, Vol. 19, No. 1. pp. 20210035, 2022 | László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org, Scientific Reports, 12:3102, 2022 | László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: Succinct Amyloid and Non-Amyloid Patterns in Hexapeptides, ACS Omega, 2022 | László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Discovering Sex and Age Implicator Edges in the Human Connectome, Neuroscience Letters Vol. 791, 136913, 2022 | Muntasir Kamal, Levon Tokmakjian, Jessica Knox, Peter Mastrangelo, Jingxiu Ji, Hao Cai, Jakub Wojciechowski, Micael P. Hughes, Kristof Takacs, Xiaoquan Chu, Jianfeng Pei, Vince Grolmusz, Malgorzata Kotulska, Julie Deborah Forman-Kay, Peter J. Roy: A Spatiotemporal Reconstruction of the C. elegans Pharyngeal Cuticle Reveals a Structure Rich in Phase-Separating Proteins, eLife, 2022 | Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Subgraphs of the Connectome of the Human Brain, Cognitive Neurodynamics Vol. 13, No. 5, pp. 453-460 (2019) https://doi.org/10.1007 /s11571-019-09535-y https://rdcu.be/bAHoe, 2019 | Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, PLOS ONE, Vol. 14 No. 4,: e0215473 (2019) https://doi.org/10.1371/journal.pone.0215473, 2019 | Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Complete Subgraphs in the Human Connectome, In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, Vol 11507. pp. 908-920, Springer, 2019 | Balint Varga, Vince Grolmusz: The braingraph.org Database with more than 1000 Robust HumanStructural Connectomes in Five Resolutions, arXiv preprint arXiv:2008.13273, 2020 | Fellner Máté, Varga Bálint, Grolmusz Vince: The Frequent Complete Subgraphs in the Human Connectome, PLOS ONE 15(8): e0236883 (2020), 2020 | Fellner Máté, Varga Bálint, Grolmusz Vince: The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females, PLOS ONE 15: (1) e0227910, 2020 | Fellner Máté, Varga Bálint, Grolmusz Vince: Good neighbors, bad neighbors: the frequent network neighborhood mapping of the hippocampus enlightens several structural factors of the human intelligence on a 414-subject cohort, SCIENTIFIC REPORTS 10: (1) 11967, 2020 | Kristof Takacs, Vince Grolmusz: On the Border of the Amyloidogenic Sequences: Prefix Analysis of the Parallel Beta Sheets in the PDB Amyloid Collection, arXiv preprint arXiv:2003:02942, 2020 | László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org, arXiv preprint arXiv:2010.09568 (2020), 2020 | Fellner Mate, Varga Balint, Grolmusz Vince: The frequent subgraphs of the connectome of the human brain, COGNITIVE NEURODYNAMICS 13: (5) pp. 453-460., 2019 | Fellner Mate, Varga Balint, Grolmusz Vince: The Frequent Complete Subgraphs in the Human Connectome, In: Catala, A; Joya, G; Rojas (szerk.) ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT II, SPRINGER INTERNATIONAL PUBLISHING AG (2019) pp. 908-920., 2019 | Laszlo Keresztes, Evelin Szogi, Balint Varga, Vince Grolmusz: Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph, arXiv preprint arXiv:1912:02291, 2019 | Szalkai B, Grolmusz V: MetaHMM: A webserver for identifying novel genes with specified functions in metagenomic samples, GENOMICS 111: (4) pp. 883-885., 2019 | Szalkai B, Kerepesi Cs, Varga B, Grolmusz V: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, PLOS ONE 14: (4) e0215473, 2019 |
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