Difference between revisions of "Template:NextTalk"

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Lecture Series | EP Math and Data<br>
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Seminar
 
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<h3 style="margin:0px 0px 0px 0px;padding:0px 0px 0px 0px;line-height:1.3em;">
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<h3>
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July 11th - 14h00 <br>
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Conference Room (5.104)
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[[Heidelberg TDA Seminar (Summer 2023)]]<br>
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Thu 11-13h, Mathematikon 00.200 <br>
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Lukas Hahn, Daniel Spitz
 
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14h00 &emsp; Reconstructing phylogenetic trees in blood cancer &emsp; Dr. Thomas Stiehl<br>
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ca. 14h45 &emsp; Discussion on EPs further proceedings
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<!-- EXAMPLES
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-- JOURNAL CLUB EXAMPLE --
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Journal Club
 
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<b>Reconstructing phylogenetic trees in blood cancer</b>
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[[Heidelberg TDA Seminar (Summer 2022) | Heidelberg TDA Seminar (Summer 2022)]]<br>
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<i>Abstract: Leukemias (blood cancers) are characterized by a complex clinical course and a large inter-individual heterogeneity. Recent gene sequencing studies show that the leukemic cell bulk consists of multiple clones, each carrying a unique set of mutations. The genetic and phenotypic interdependence of the different clones is highly complex and so far not well understood. We develop a combinatorial tool to reconstruct all possible phylogenetic trees that are in line with given sequencing data. This is an important first step to understand the mechanisms underlying disease progression and treatment failure. We would like to discuss if topological methods can be applied to further improve the reconstruction of phylogenetic trees and which additional insights they could provide. As an example application we consider paired diagnosis-relapse samples from patients with acute myeloid leukemia. </i>
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Thu 11h15-12h45, Mathematikon, SR 4 <br>
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Organizers: Lukas Hahn, Maximilian Schmahl, Daniel Spitz
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-- SEMINAR EXAMPLE --
  
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Seminar
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[https://stat.math.uni-heidelberg.de/courses_detail.php?id=118 Topologische Datenanalyse und persistente Homologie]<br>
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first meeting 13.04. or 21.04. <br>
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organizer: Dr. Johannes Krebs <br>
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please register in advance (until 09.04.2021)
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<h4 style="margin:0px 0px 0.1em 0px;padding:0px">Summer School</h4>
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Persistent Homology and Barcodes
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<h3>
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<p>A model category of tame parametrised chain complexes <br>
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Barbara Giunti (University of Modena) </p>
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<p> Tue, July 7th, 16-18h <br>
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Zoom <small>([mailto:structures-hiwi@mathi.uni-heidelberg.de email us for details])</small><br> </p>
 
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August 5-9
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<b>Abstract:</b> Persistent theory is a useful tool to extract information from real-world data sets, and profits of techniques from different mathematical disciplines, such as Morse theory and quiver representation. In this seminar, I am going to present a new approach for studying persistence theory using model categories. I will briefly introduce model categories and then describe how to define a model structure on the category of the tame parametrised chain complexes, which are chain complexes that evolve in time, describing why such an approach can be useful in topological data analysis. In particular, I will use the model category structure to retrieve two invariants that extract homotopical and homological information from any tame parametrised chain complex.  
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Schloß Rauischholzhausen <br>
 
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JLU Gießen
 
  
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<i>Organizers: Peter Albers (Heidelberg), Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)</i>
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<p>2nd Workshop on <br>
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Topological Methods in Data Analysis<br>
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October 4th - 6th, Heidelberg University </p>
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<b>Abstract:</b>
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This three-day workshop includes introductions into the powerful data analysis machinery of persistent homology, extensive tutorials on the versatile GUDHI Library, and in particular features invited Colloquium Talks by well-known experts in the field, aimed at a broader audience. In addition, participants will have the opportunity to give a short presentation on their own TDA-related work.
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[https://sites.google.com/view/persistenthomologyandbarcodes/ website]
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[https://www.mathi.uni-heidelberg.de/~mbleher/tdaworkshop21.html Further information and registration.]
 
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<h3>
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<p>Python Course on <br>
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Topological Methods in Data Analysis<br>
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Heidelberg University </p>
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<p> October 26th - 28th <br>
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Mathematikon and Zoom <br> </p>
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<b>Abstract:</b>
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In this twelve-hour workshop the participants will be introduced to the main techniques utilized in topological data analysis and their implementation provided by the python package scikit-tda. Introductions to the Mapper algorithm and persistent homology will be complemented by respective hands-on tutorial sessions. The workshop will conclude with an exploratory project of these methods on ‘real data’, which may be provided by the participants.
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More information on the [https://micbl.github.io/TDAworkshop/ course website]
 
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Latest revision as of 18:16, 17 April 2023

Seminar

Heidelberg TDA Seminar (Summer 2023)
Thu 11-13h, Mathematikon 00.200
Lukas Hahn, Daniel Spitz



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