Pathogenesis of (smoking-related) non-communicable diseases-Evidence for a common underlying pathophysiological pattern von Kopp, Wolfgang

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Diet-Induced Hyperinsulinemia as a Key Factor in the Etiology of Both Benign Prostatic Hyperplasia and Essential Hypertension? von Kopp, Wolfgang

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Deep learning for genomics using Janggu von Kopp, Wolfgang, Monti, Remo, Tamburrini, Annalaura, Ohler, Uwe, Akalin, Altuna

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How Western Diet And Lifestyle Drive The Pandemic Of Obesity And Civilization Diseases von Kopp, Wolfgang

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Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency von Adachi, Kenjiro, Kopp, Wolfgang, Wu, Guangming, Heising, Sandra, Greber, Boris, Stehling, Martin, Araúzo-Bravo, Marcos J., Boerno, Stefan T., Timmermann, Bernd, Vingron, Martin, Schöler, Hans R.

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Aging and "Age-Related" Diseases - What Is the Relation? von Kopp, Wolfgang

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Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia von Lichtner, Gregor, Balzer, Felix, Haufe, Stefan, Giesa, Niklas, Schiefenhövel, Fridtjof, Schmieding, Malte, Jurth, Carlo, Kopp, Wolfgang, Akalin, Altuna, Schaller, Stefan J., Weber-Carstens, Steffen, Spies, Claudia, von Dincklage, Falk

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Development of Obesity: The Driver and the Passenger von Kopp, Wolfgang

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An improved compound Poisson model for the number of motif hits in DNA sequences von Kopp, Wolfgang, Vingron, Martin

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Single-cell-resolved dynamics of chromatin architecture delineate cell and regulatory states in zebrafish embryos von McGarvey, Alison C., Kopp, Wolfgang, Vučićević, Dubravka, Mattonet, Kenny, Kempfer, Rieke, Hirsekorn, Antje, Bilić, Ilija, Gil, Marine, Trinks, Alexandra, Merks, Anne Margarete, Panáková, Daniela, Pombo, Ana, Akalin, Altuna, Junker, Jan Philipp, Stainier, Didier Y.R., Garfield, David, Ohler, Uwe, Lacadie, Scott Allen

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DNA Motif Match Statistics Without Poisson Approximation von Kopp, Wolfgang, Vingron, Martin

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scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data von Jeong, Yunhee, Ronen, Jonathan, Kopp, Wolfgang, Lutsik, Pavlo, Akalin, Altuna

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Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning von Kopp, Wolfgang, Akalin, Altuna, Ohler, Uwe

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The atherogenic potential of dietary carbohydrate von Kopp, Wolfgang

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Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements von Baranasic, Damir, Hörtenhuber, Matthias, Balwierz, Piotr J., Zehnder, Tobias, Mukarram, Abdul Kadir, Nepal, Chirag, Várnai, Csilla, Hadzhiev, Yavor, Jimenez-Gonzalez, Ada, Li, Nan, Wragg, Joseph, D’Orazio, Fabio M., Relic, Dorde, Pachkov, Mikhail, Díaz, Noelia, Hernández-Rodríguez, Benjamín, Chen, Zelin, Stoiber, Marcus, Dong, Michaël, Stevens, Irene, Ross, Samuel E., Eagle, Anne, Martin, Ryan, Obasaju, Oluwapelumi, Rastegar, Sepand, McGarvey, Alison C., Kopp, Wolfgang, Chambers, Emily, Wang, Dennis, Kim, Hyejeong R., Acemel, Rafael D., Naranjo, Silvia, Łapiński, Maciej, Chong, Vanessa, Mathavan, Sinnakaruppan, Peers, Bernard, Sauka-Spengler, Tatjana, Vingron, Martin, Carninci, Piero, Ohler, Uwe, Lacadie, Scott Allen, Burgess, Shawn M., Winata, Cecilia, van Eeden, Freek, Vaquerizas, Juan M., Gómez-Skarmeta, José Luis, Onichtchouk, Daria, Brown, Ben James, Bogdanovic, Ozren, van Nimwegen, Erik, Westerfield, Monte, Wardle, Fiona C., Daub, Carsten O., Lenhard, Boris, Müller, Ferenc

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Reply to the comment of Ströhle et al von Kopp, Wolfgang

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Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency von Adachi, Kenjiro, Kopp, Wolfgang, Wu, Guangming, Heising, Sandra, Greber, Boris, Stehling, Martin, Araúzo-Bravo, Marcos J., Boerno, Stefan T., Timmermann, Bernd, Vingron, Martin, Schöler, Hans R.

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High-insulinogenic nutrition—an etiologic factor for obesity and the metabolic syndrome? von Kopp, Wolfgang

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Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge von Sieberts, Solveig K., Schaff, Jennifer, Duda, Marlena, Pataki, Bálint Ármin, Sun, Ming, Snyder, Phil, Daneault, Jean-Francois, Parisi, Federico, Costante, Gianluca, Rubin, Udi, Banda, Peter, Chae, Yooree, Chaibub Neto, Elias, Dorsey, E. Ray, Aydın, Zafer, Chen, Aipeng, Elo, Laura L., Espino, Carlos, Glaab, Enrico, Goan, Ethan, Golabchi, Fatemeh Noushin, Görmez, Yasin, Jaakkola, Maria K., Jonnagaddala, Jitendra, Klén, Riku, Li, Dongmei, McDaniel, Christian, Perrin, Dimitri, Perumal, Thanneer M., Rad, Nastaran Mohammadian, Rainaldi, Erin, Sapienza, Stefano, Schwab, Patrick, Shokhirev, Nikolai, Venäläinen, Mikko S., Vergara-Diaz, Gloria, Zhang, Yuqian, Wang, Yuanjia, Guan, Yuanfang, Brunner, Daniela, Bonato, Paolo, Mangravite, Lara M., Omberg, Larsson

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