Garry P. Nolan

According to our database, Garry P. Nolan authored at least 17 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

One-Way Matching of Datasets with Low Rank Signals.

Shuxiao Chen, Sizun Jiang, Zongming Ma, Garry P. Nolan, Bokai Zhu

CoRR, 2022

CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images.

Michael Y. Lee, Jacob S. Bedia, Salil S. Bhate, Graham L. Barlow, Darci Phillips, Wendy J. Fantl, Garry P. Nolan, Christian M. Schürch

BMC Bioinform., 2022

2020

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.

Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Nat. Mach. Intell., 2020

2019

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.

Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson

Nat., 2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Bioinform., 2019

2018

GateFinder: projection-based gating strategy optimization for flow and mass cytometry.

Nima Aghaeepour, Erin F. Simonds, David J. H. F. Knapp, Robert V. Bruggner, Karen Sachs, Anthony Culos, Pier Federico Gherardini, Nikolay Samusik, Gabriela K. Fragiadakis, Sean Bendall, Brice Gaudilliere, Martin S. Angst, Connie J. Eaves, William A. Weiss, Wendy J. Fantl, Garry P. Nolan

Bioinform., 2018

2017

Scalable multi-sample single-cell data analysis by Partition-Assisted Clustering and Multiple Alignments of Networks.

Ye Henry Li, Dangna Li, Nikolay Samusik, Xiaowei Wang, Leying Guan, Garry P. Nolan, Wing Hung Wong

PLoS Comput. Biol., 2017

An Updated Debarcoding Tool for Mass Cytometry with Cell Type-Specific and Cell Sample-Specific Stringency Adjustment.

Kristin I. Fread, William D. Strickland, Garry P. Nolan, Eli R. Zunder

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2012

CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data.

Michael D. Linderman, Zach Bjornson, Erin F. Simonds, Peng Qiu, Robert V. Bruggner, Ketaki Sheode, Teresa H. Meng, Sylvia K. Plevritis, Garry P. Nolan

Bioinform., 2012

2010

Recovering Cyclic Causal Structure.

Sleiman Itani, Mesrob I. Ohannessian, Karen Sachs, Garry P. Nolan, Munther A. Dahleh

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

High-throughput Bayesian network learning using heterogeneous multicore computers.

Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan

Proceedings of the 24th International Conference on Supercomputing, 2010

<i>ParaLearn</i>: a massively parallel, scalable system for learning interaction networks on FPGAs.

Narges Bani Asadi, Christopher W. Fletcher, Greg Gibeling, John Wawrzynek, Wing H. Wong, Garry P. Nolan

Proceedings of the 24th International Conference on Supercomputing, 2010

Towards program optimization through automated analysis of numerical precision.

Michael D. Linderman, Matthew Ho, David L. Dill, Teresa H. Meng, Garry P. Nolan

Proceedings of the CGO 2010, 2010

2009

Learning Signaling Network Structures with Sparsely Distributed Data.

Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan, Dana Pe'er, Douglas A. Lauffenburger

J. Comput. Biol., 2009

Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements.

Karen Sachs, Sleiman Itani, J. Fitzgerald, L. Wille, Birgit Schoeberl, Munther A. Dahleh, Garry P. Nolan

Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008

Structure learning for biomolecular pathways containing cycles.

Sleiman Itani, Karen Sachs, Garry P. Nolan, Munther A. Dahleh

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2004

Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data.

Karen Sachs, Omar D. Perez, Dana Pe'er, Garry P. Nolan, David K. Gifford, Tommi S. Jaakkola, Douglas A. Lauffenburger

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004