Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Michael C. Thrun"'
Autor:
Alfred Ultsch, Jörg Hoffmann, Maximilian A. Röhnert, Malte von Bonin, Uta Oelschlägel, Cornelia Brendel, Michael C. Thrun
Publikováno v:
BioMedInformatics, Vol 4, Iss 1, Pp 197-218 (2024)
Typical state-of-the-art flow cytometry data samples typically consist of measures of 10 to 30 features of more than 100,000 cell “events”. Artificial intelligence (AI) systems are able to diagnose such data with almost the same accuracy as human
Externí odkaz:
https://doaj.org/article/ad9a48e9309b4116a54214ceb77b1f04
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionInflammatory conditions in patients have various causes and require different treatments. Bacterial infections are treated with antibiotics, while these medications are ineffective against viral infections. Autoimmune diseases and graft-v
Externí odkaz:
https://doaj.org/article/d0bb289639974d10b627b1aa270d1f42
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 3, Pp 1076-1118 (2023)
Dimensionality reduction methods can be used to project high-dimensional data into low-dimensional space. If the output space is restricted to two dimensions, the result is a scatter plot whose goal is to present insightful visualizations of distance
Externí odkaz:
https://doaj.org/article/2c8b80d442f4401582144010c8ba73a9
Autor:
Joerg Hoffmann, Semil Eminovic, Christian Wilhelm, Stefan W. Krause, Andreas Neubauer, Michael C. Thrun, Alfred Ultsch, Cornelia Brendel
Publikováno v:
Current Oncology, Vol 30, Iss 2, Pp 1903-1915 (2023)
Background: The International Prognostic Index (IPI) is applied to predict the outcome of chronic lymphocytic leukemia (CLL) with five prognostic factors, including genetic analysis. We investigated whether multiparameter flow cytometry (MPFC) data o
Externí odkaz:
https://doaj.org/article/2b7e7727681f4d409ecf369ee85f7498
Autor:
Michael C. Thrun
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Benchmark datasets with predefined cluster structures and high-dimensional biomedical datasets outline the challenges of cluster analysis: clustering algorithms are limited in their clustering ability in the presence of clusters defining dis
Externí odkaz:
https://doaj.org/article/80c3566d0abb42cbb16bd430d6a3c752
Autor:
Michael C. Thrun, Jörg Hoffmann, Maximilian Röhnert, Malte von Bonin, Uta Oelschlägel, Cornelia Brendel, Alfred Ultsch
Publikováno v:
Data in Brief, Vol 43, Iss , Pp 108382- (2022)
Three different Flow Cytometry datasets consisting of diagnostic samples of either peripheral blood (pB) or bone marrow (BM) from patients without any sign of bone marrow disease at two different health care centers are provided. In Flow Cytometry, e
Externí odkaz:
https://doaj.org/article/e02c8ecc88204eaa90e76061a512a0a8
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 1, Pp 170-204 (2021)
The understanding of water quality and its underlying processes is important for the protection of aquatic environments. With the rare opportunity of access to a domain expert, an explainable AI (XAI) framework is proposed that is applicable to multi
Externí odkaz:
https://doaj.org/article/38de55834695488697db322c9228e4ff
Publikováno v:
IEEE Access, Vol 8, Pp 152439-152451 (2020)
In provenance analysis, identifying the origin of the archaeological artifacts plays a significant role. Usually, this problem is addressed by discovering natural groups in data measured with spectroscopic techniques. Then, principal component and cl
Externí odkaz:
https://doaj.org/article/f871a6d956d947988aec2f64c88e90f0
Autor:
Michael C. Thrun, Elisabeth K. M. Mack, Andreas Neubauer, Torsten Haferlach, Miriam Frech, Alfred Ultsch, Cornelia Brendel
Publikováno v:
Bioengineering, Vol 9, Iss 11, p 642 (2022)
“Big omics data” provoke the challenge of extracting meaningful information with clinical benefit. Here, we propose a two-step approach, an initial unsupervised inspection of the structure of the high dimensional data followed by supervised analy
Externí odkaz:
https://doaj.org/article/ab1e0d13ee7c4b78bd46f5d5ded5f320
Autor:
Michael C. Thrun, Quirin Stier
Publikováno v:
SoftwareX, Vol 13, Iss , Pp 100642- (2021)
The article presents immediate access to over fifty fundamental clustering algorithms. Additionally, access to clustering benchmark datasets published priorly as “Fundamental Clustering Problems Suite” (FCPS) is provided. The software library is
Externí odkaz:
https://doaj.org/article/eca584d78c0b4b0796a48aac4b1c86d7