Dita Gratzinger

According to our database, Dita Gratzinger authored at least 3 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Real time machine learning prediction of next generation sequencing test results in live clinical settings.

Grace Y. E. Kim, Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri, William Shomali, Jean Oak, Dita Gratzinger, Henning Stehr, Jonathan H. Chen

npj Digit. Medicine, 2025

2022

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.

Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al-Moujahed, Alina Alam, Megan A. Albertelli, Paul Allegakoen, Thomas Ambrosi, Jane Antony, Steven Artandi, Fabienne Aujard, Kyle Awayan, Ankit Baghel, Isaac Bakerman, Trygve E. Bakken, Jalal Baruni, Philip Beachy, Biter Bilen, Olga B. Botvinnik, Scott D. Boyd, Deviana Burhan, Kerriann M. Casey, Charles Chan, Charles A. Chang, Stephen Chang, Ming Chen, Michael F. Clarke, Sheela Crasta, Rebecca Culver, Jessica D'Addabbo, Spyros Darmanis, Roozbeh Dehghannasiri, Song-Lin Ding, Connor V. Duffy, Jacques Epelbaum, F. Hernán Espinoza, Camille Ezran, Jean Farup, James E. Ferrell Jr, Hannah K. Frank, Margaret Fuller, Astrid Gillich, Elias Godoy, Dita Gratzinger, Lisbeth A. Guethlein, Yan Hang, Kazuteru Hasegawa, Rebecca D. Hodge, Malachia Hoover, Franklin W. Huang, Kerwyn Casey Huang, Shelly Huynh, Taichi Isobe, Carly Israel, Sori Jang, Qiuyu Jing, Robert C. Jones, Jengmin Kang, Caitlin J. Karanewsky, Jim Karkanias, Justus Kebschull, Aaron Kershner, Lily Kim, Seung K. Kim, E. Christopher Kirk, Winston Koh, Silvana Konermann, William Kong, Mark A. Krasnow, Christin Kuo, Corinne Lautier, Song Eun Lee, Ed S. Lein, Rebecca Lewis, Peng Li, Shengda Lin, Shixuan Liu, Yin Liu, Gabriel Loeb, Jonathan Z. Long, Wan-Jin Lu, Katherine Lucot, Liqun Luo, Aaron McGeever, Ross Metzger, Jingsi Ming, Thomas J. Montine, Antoine de Morree, Maurizio Morri, Karim Mrouj, Shravani Mukherjee, Ahmad Nabhan, Saba Nafees, Norma Neff, Patrick Neuhöfer, Patricia Nguyen, Jennifer Okamoto, Julia Eve Olivieri, Youcef Ouadah, Honor Paine, Peter Parham, Jozeph L. Pendleton, Lolita Penland, Martine Perret, Angela Oliveira Pisco, Zhen Qi, Stephen R. Quake, Ute Radespiel, Thomas A. Rando, Hajanirina Noëline Ravelonjanahary, Andriamahery Razafindrakoto, Julia Salzman, Nicholas Schaum, Robert Schopler, Bronwyn Scott, Liza Shapiro, Hosu Sin, Rahul Sinha, Rene Sit, Geoff Stanley, Lubert Stryer, Varun Ramanan Subramaniam, Aditi Swarup, Weilun Tan, Alexander Tarashansky, Aris Taychameekiatchai, Jérémy Terrien, Kyle J. Travaglini, Andoni Urtasun, Sivakamasundari, Avin Veerakumar, Venkata Naga Pranathi Vemuri, Jean-Michel Verdier, Iwijn De Vlaminck, Douglas Vollrath, Bo Wang, Bruce Wang, Gefei Wang, Michael F. Z. Wang, Sheng Wang, James Webber, Hannah Weinstein, Irving L. Weissman, Amanda L. Wiggenhorn, Cathy V. Williams, Patricia Wright, Albert Y. Wu, Angela Ruohao Wu, Tony Wyss-Coray, Bao Xiang, Jia Yan, Can Yang, Jinxurong Yang, Anne D. Yoder, Brian Yu, Andrea R. Yung, Yue Zhang, Jia Zhao, Zicheng Zhao

Nat. Comput. Sci., 2022

2021

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.

Grace Y. E. Kim, Morteza Noshad, Henning Stehr, Rebecca Rojansky, Dita Gratzinger, Jean Oak, Rondeep Brar, David Iberri, Christina Kong, James L. Zehnder, Jonathan H. Chen

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021