Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sabrina Jaeger"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract Computational methods such as molecular docking or molecular dynamics (MD) simulations have been developed to simulate and explore the interactions between biomolecules. However, the interactions obtained using these methods are difficult to
Externí odkaz:
https://doaj.org/article/2192f75f2a5b4989ae5123a755c1f0c3
Autor:
Denis Bienroth, Hieu T. Nim, Dimitar Garkov, Karsten Klein, Sabrina Jaeger-Honz, Mirana Ramialison, Falk Schreiber
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Abstract Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is t
Externí odkaz:
https://doaj.org/article/017e5ea75e9347368e2ec19752d2bed3
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:3651-3661
Networks are an important means for the representation and analysis of data in a variety of research and application areas. While there are many efficient methods to create layouts for networks to support their visual analysis, approaches for the com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7dac9a719916bd53ef72aacf861cbde
https://doi.org/10.1109/tvcg.2022.3203001
https://doi.org/10.1109/tvcg.2022.3203001
Autor:
Denis Bienroth, Natalie Charitakis, Sabrina Jaeger-Honz, Dimitar Garkov, David A. Elliott, Enzo R. Porrello, Karsten Klein, Hieu T. Nim, Falk Schreiber, Mirana Ramialison
Spatially resolved transcriptomics (SRT) technologies produce complex, multi-dimensional data sets of gene expression information that can be obtained at subcellular spatial resolution. While several computational tools are available to process and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d40caddc5177bf9ba6569640c67de42
https://doi.org/10.1101/2023.03.31.535025
https://doi.org/10.1101/2023.03.31.535025
Autor:
Denis Bienroth, Hieu T. Nim, Dimitar Garkov, Karsten Klein, Sabrina Jaeger-Honz, Mirana Ramialison, Falk Schreiber
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)
Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is the subseq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3683fb392977e65123bf638a01b794a1
https://pubmed.ncbi.nlm.nih.gov/35001220
https://pubmed.ncbi.nlm.nih.gov/35001220
Autor:
Jörg Melzheimer, Heribert Hofer, Sabrina Jaeger, Artur Baltabayev, Falk Schreiber, Bettina Wachter, Karsten Klein
Publikováno v:
Journal of visualization, 24(4):807-825
Abstract Current tracking technology such as GPS data loggers allows biologists to remotely collect large amounts of movement data for a large variety of species. Extending, and often replacing interpretation based on observation, the analysis of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0de06139085ce078a84fe5b2764d6ee
https://repository.publisso.de/resource/frl:6434212
https://repository.publisso.de/resource/frl:6434212
Publikováno v:
Journal of Chemical Information and Modeling. 58:27-35
Inspired by natural language processing techniques we here introduce Mol2vec which is an unsupervised machine learning approach to learn vector representations of molecular substructures. Similarly, to the Word2vec models where vectors of closely rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129757d7b9e971e18d2e4a9c9608e6ff
https://doi.org/10.1021/acs.jcim.7b00616
https://doi.org/10.1021/acs.jcim.7b00616
Autor:
Daniel R. Dietrich, Regina Fotler, Stefan Altaner, Ivan Zemskov, Sabrina Jaeger, Valentin Wittmann, Falk Schreiber
Publikováno v:
ALTEX. :337-338
In this manuscript, which appeared in ALTEX (2020), 37(1), 24-36, doi:10.14573/altex.1904031 , there were errors in Tables 1 and 3.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deac5f119aa64cb75096ecfd41eb73db
https://doi.org/10.14573/altex.1904031e
https://doi.org/10.14573/altex.1904031e
Autor:
Heribert Hofer, Karsten Klein, Artur Baltabayev, Bettina Wachter, Sabrina Jaeger, Jörg Melzheimer, Falk Schreiber
Publikováno v:
VINCI
Recent advances in tracking technology allow biologists to collect large amounts of movement data for a variety of species. Analysis of the collected data supports research on animal behaviour, influence of impact factors such as climate change and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de0cc40e5b462917062cae852a3905d1
https://doi.org/10.1145/3356422.3356435
https://doi.org/10.1145/3356422.3356435
Autor:
Stefan, Altaner, Sabrina, Jaeger, Regina, Fotler, Ivan, Zemskov, Valentin, Wittmann, Falk, Schreiber, Daniel R, Dietrich
Publikováno v:
ALTEX. 37(1)
Microcystins (MC) represent a family of cyclic peptides with approx. 250 congeners presumed harmful to human health due to their ability to inhibit ser/thr-proteinphosphatases (PPP), albeit all hazard and risk assessments (RA) are based on data of on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::69bfe822f1ace97aaf136dc249adf689
https://pubmed.ncbi.nlm.nih.gov/32242643
https://pubmed.ncbi.nlm.nih.gov/32242643