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pro vyhledávání: '"Arkadij Kummer"'
Autor:
Eric J. Ma, Arkadij Kummer
Publikováno v:
Entropy, Vol 23, Iss 6, p 727 (2021)
We present a case study applying hierarchical Bayesian estimation on high-throughput protein melting-point data measured across the tree of life. We show that the model is able to impute reasonable melting temperatures even in the face of unreasonabl
Externí odkaz:
https://doaj.org/article/336db3531b984594ae32f4eee4088704
Akademický článek
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Autor:
Ernst Freund, Dan Huynh, Richard A. Lewis, Eric J. Ma, Markus Stoeckli, Elke Koch, Holger Schlingensiepen, Markus Vogel, Mathieu Ligibel, Radka Snajdrova, Charles Moore, Elina Maria Siirola, Luca Siegrist, Caroline Bouquet, Michael Faller, Edward J. Oakeley, Geoffrey Cutler, Anne-Christine Acker, Fabian K. Eggimann, Arkadij Kummer
Publikováno v:
ACS Catalysis. 11:12433-12445
Autor:
Lucia Csepregi, Kenneth B. Hoehn, Bruno E. Correia, Simon Friedensohn, Sai T. Reddy, Cédric R. Weber, Arkadij Kummer, Fabian Sesterhenn, Joseph M. Taft, Daniel Neumeier
Diverse antibody repertoires spanning multiple lymphoid organs (e.g., bone marrow, spleen, lymph nodes) form the foundation of protective humoral immunity. Changes in their composition across lymphoid organs are a consequence of B-cell selection and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77fe5cbe88812d791a9c6e7c7f1c20f5
https://doi.org/10.1101/2021.09.15.460420
https://doi.org/10.1101/2021.09.15.460420
Autor:
Arkadij Kummer, Eric J. Ma
Publikováno v:
Entropy
Volume 23
Issue 6
Entropy, Vol 23, Iss 727, p 727 (2021)
Entropy, 23 (6)
Volume 23
Issue 6
Entropy, Vol 23, Iss 727, p 727 (2021)
Entropy, 23 (6)
We present a case study applying hierarchical Bayesian estimation on high-throughput protein melting-point data measured across the tree of life. We show that the model is able to impute reasonable melting temperatures even in the face of unreasonabl
Autor:
Eric J. Ma, Arkadij Kummer
UniRep is a recurrent neural network model trained on 24 million protein sequences, and has shown utility in protein engineering. The original model, however, has rough spots in its implementation, and a convenient API is not available for certain ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b9a5795341f844d5dac26afd453776