Search Results - "Jendrusch, Michael"

Spatially resolved electrical impedance methods for cell and particle characterization by Schwarz, Marvin, Jendrusch, Michael, Constantinou, Iordania

“…Electrical impedance is an established technique used for cell and particle characterization. The temporal and spectral resolution of electrical impedance have…”
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The shared frameshift mutation landscape of microsatellite-unstable cancers suggests immunoediting during tumor evolution by Ballhausen, Alexej, Przybilla, Moritz Jakob, Jendrusch, Michael, Haupt, Saskia, Pfaffendorf, Elisabeth, Seidler, Florian, Witt, Johannes, Hernandez Sanchez, Alejandro, Urban, Katharina, Draxlbauer, Markus, Krausert, Sonja, Ahadova, Aysel, Kalteis, Martin Simon, Pfuderer, Pauline L., Heid, Daniel, Stichel, Damian, Gebert, Johannes, Bonsack, Maria, Schott, Sarah, Bläker, Hendrik, Seppälä, Toni, Mecklin, Jukka-Pekka, Ten Broeke, Sanne, Nielsen, Maartje, Heuveline, Vincent, Krzykalla, Julia, Benner, Axel, Riemer, Angelika Beate, von Knebel Doeberitz, Magnus, Kloor, Matthias

“…The immune system can recognize and attack cancer cells, especially those with a high load of mutation-induced neoantigens. Such neoantigens are abundant in…”
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Impact and characterization of serial structural variations across humans and great apes by Höps, Wolfram, Rausch, Tobias, Jendrusch, Michael, Korbel, Jan O., Sedlazeck, Fritz J.

“…Modern sequencing technology enables the systematic detection of complex structural variation (SV) across genomes. However, extensive DNA rearrangements…”
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Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow by Constantinou, Iordania, Jendrusch, Michael, Aspert, Théo, Görlitz, Frederik, Schulze, André, Charvin, Gilles, Knop, Michael

“…Single-cell analysis commonly requires the confinement of cell suspensions in an analysis chamber or the precise positioning of single cells in small channels…”
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Deep learning detects genetic alterations in cancer histology generated by adversarial networks by Krause, Jeremias, Grabsch, Heike I, Kloor, Matthias, Jendrusch, Michael, Echle, Amelie, Buelow, Roman David, Boor, Peter, Luedde, Tom, Brinker, Titus J, Trautwein, Christian, Pearson, Alexander T, Quirke, Philip, Jenniskens, Josien, Offermans, Kelly, Brandt, Piet A, Kather, Jakob Nikolas

“…Deep learning can detect microsatellite instability (MSI) from routine histology images in colorectal cancer (CRC). However, ethical and legal barriers impede…”
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A simple approach for detecting HLA‐A 02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting by Witt, Johannes, Haupt, Saskia, Ahadova, Aysel, Bohaumilitzky, Lena, Fuchs, Vera, Ballhausen, Alexej, Przybilla, Moritz Jakob, Jendrusch, Michael, Seppälä, Toni T., Fürst, Daniel, Walle, Thomas, Busch, Elena, Haag, Georg Martin, Hüneburg, Robert, Nattermann, Jacob, von Knebel Doeberitz, Magnus, Heuveline, Vincent, Kloor, Matthias

“…The HLA system represents a central component of the antigen presentation machinery. As every patient possesses a defined set of HLA molecules, only certain…”
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THER-01. Precision brain tumor therapy by AAV-mediated oncogene editing by von Soosten, Laura, Haar, Janina, Frehtman, Veronika, Holderbach, Stefan, Belzen, Julius Upmeier zu, Jendrusch, Michael, Okonechnikov, Konstantin, Pfister, Stefan M, Grimm, Dirk, Leuchs, Barbara, Jones, David, Kutscher, Lena M, Zuckermann, Marc

“…Abstract Pediatric high-grade glioma is a heterogeneous group of highly malignant tumors of the central nervous system, with a median overall survival of less…”
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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance by Niehues, Jan M., Müller-Franzes, Gustav, Schirris, Yoni, Wagner, Sophia Janine, Jendrusch, Michael, Kloor, Matthias, Pearson, Alexander T., Muti, Hannah Sophie, Hewitt, Katherine J., Veldhuizen, Gregory P., Zigutyte, Laura, Truhn, Daniel, Kather, Jakob Nikolas

“…Latent diffusion models (LDMs) have emerged as a state-of-the-art image generation method, outperforming previous Generative Adversarial Networks (GANs) in…”
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A simple approach for detecting HLA‐A02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting by Witt, Johannes, Haupt, Saskia, Ahadova, Aysel, Bohaumilitzky, Lena, Fuchs, Vera, Ballhausen, Alexej, Przybilla, Moritz Jakob, Jendrusch, Michael, Seppälä, Toni T., Fürst, Daniel, Walle, Thomas, Busch, Elena, Haag, Georg Martin, Hüneburg, Robert, Nattermann, Jacob, Knebel Doeberitz, Magnus, Heuveline, Vincent, Kloor, Matthias

“…The HLA system represents a central component of the antigen presentation machinery. As every patient possesses a defined set of HLA molecules, only certain…”
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Abstract 571: The shared mutation and neo antigen landscape of MMR-deficient colorectal cancers suggests immunoediting during tumor evolution by Kloor, Matthias, Ballhausen, Alexej, Przybilla, Moritz, Jendrusch, Michael, Pfaffendorf, Elisabeth, Draxlbauer, Markus, Seidler, Florian, Krausert, Sonja, Ahadova, Aysel, Kalteis, Simon, Heid, Daniel, Gebert, Johannes, Bonsack, Maria, Schott, Sarah, Bläker, Hendrik, Seppälä, Toni, Mecklin, Jukka-Pekka, Broeke, Sanne Ten, Nielsen, Maartje, Krzykalla, Julia, Benner, Axel, Riemer, Angelika, Doeberitz, Magnus von Knebel

“…Abstract The immune system can recognize and attack cancer cells and their precursors, especially those with a high load of mutation-induced neoantigens. Such…”
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Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins by Upmeier zu Belzen, Julius, Bürgel, Thore, Holderbach, Stefan, Bubeck, Felix, Adam, Lukas, Gandor, Catharina, Klein, Marita, Mathony, Jan, Pfuderer, Pauline, Platz, Lukas, Przybilla, Moritz, Schwendemann, Max, Heid, Daniel, Hoffmann, Mareike Daniela, Jendrusch, Michael, Schmelas, Carolin, Waldhauer, Max, Lehmann, Irina, Niopek, Dominik, Eils, Roland

“…Proteins are nature’s most versatile molecular machines. Deep neural networks trained on large protein datasets have recently been used to tackle the unmet…”
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Publisher Correction: Leveraging implicit knowledge in neural networks for functional dissection and engineering of proteins by zu Belzen, Julius Upmeier, Bürgel, Thore, Holderbach, Stefan, Bubeck, Felix, Adam, Lukas, Gandor, Catharina, Klein, Marita, Mathony, Jan, Pfuderer, Pauline, Platz, Lukas, Przybilla, Moritz, Schwendemann, Max, Heid, Daniel, Hoffmann, Mareike Daniela, Jendrusch, Michael, Schmelas, Carolin, Waldhauer, Max, Lehmann, Irina, Niopek, Dominik, Eils, Roland

“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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