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2020 – today
- 2024
[c11]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. ICML 2024- [i1]Gautam Machiraju, Alexander Derry
, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR abs/2402.11729 (2024) - 2023
- [j7]Grigorios M. Karageorgos, Sanghee Cho, Elizabeth McDonough, Chrystal Chadwick, Soumya Ghose, Jonathan Owens, Kyeong Joo Jung, Raghu Machiraju, Robert West, James D. Brooks, Parag Mallick, Fiona Ginty:
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images. Frontiers Bioinform. 3 (2023) - 2022
- [c10]Gautam Machiraju, Sylvia K. Plevritis, Parag Mallick:
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations. ECCV (12) 2022: 422-442 - 2020
- [j6]Michelle B. Atallah, Varun Tandon, Kamir J. Hiam, Hunter Boyce, Michelle Hori, Waleed Atallah, Matthew H. Spitzer, Edgar Engleman, Parag Mallick:
ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network. BMC Bioinform. 21(1): 346 (2020) - [c9]Arunima Srivastava, Michael F. Sharpnack, Kun Huang, Parag Mallick, Raghu Machiraju:
PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics. PSB 2020: 475-486
2010 – 2019
- 2019
- [c8]Hunter Boyce, Parag Mallick:
Geostatistical visualization of ecological interactions in tumors. BIBM 2019: 2741-2749 - [c7]Arunima Srivastava, Ravali Adusumilli, Hunter Boyce, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Thomas Yu, Raghu Machiraju, Yolanda Gil, Parag Mallick:
Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility. PSB 2019: 208-219 - 2018
- [j5]Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek:
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. J. Comput. Biol. 25(7): 709-725 (2018) - [c6]Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, Raghu Machiraju:
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. PSB 2018: 377-388 - 2017
- [c5]Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick:
Towards Continuous Scientific Data Analysis and Hypothesis Evolution. AAAI 2017: 4406-4414 - [c4]Yolanda Gil, Daniel Garijo, Margaret Knoblock, Alyssa Deng, Ravali Adusumilli, Varun Ratnakar, Parag Mallick:
Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions. K-CAP Workshops 2017: 17-25 - [c3]Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek:
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. RECOMB 2017: 134-156 - 2015
- [j4]Kyle D. Bemis, April Harry, Livia S. Eberlin, Christina Ferreira, Stephanie M. van de Ven, Parag Mallick, Mark L. Stolowitz, Olga Vitek:
Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experiments. Bioinform. 31(14): 2418-2420 (2015) - 2012
- [c2]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Aman Goel, Shubham Gupta, Kristina Lerman, Maria Muslea, Mohsen Taheriyan, Parag Mallick:
Semi-automatically Mapping Structured Sources into the Semantic Web. ESWC 2012: 375-390 - 2011
- [c1]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Shubham Gupta, Aman Goel, Maria Muslea, Kristina Lerman, Parag Mallick:
Interactively Mapping Data Sources into the Semantic Web. LISC 2011
2000 – 2009
- 2008
- [j3]Darren Kessner, Matt Chambers, Robert Burke, David B. Agus, Parag Mallick:
ProteoWizard: open source software for rapid proteomics tools development. Bioinform. 24(21): 2534-2536 (2008) - 2006
- [j2]Frank Desiere, Eric W. Deutsch, Nichole L. King, Alexey I. Nesvizhskii, Parag Mallick, Jimmy K. Eng, Sharon Chen, James Eddes, Sandra N. Loevenich, Ruedi Aebersold:
The PeptideAtlas project. Nucleic Acids Res. 34(Database-Issue): 655-658 (2006) - 2005
- [j1]Brian M. Gurbaxani, Parag Mallick:
Finding Protein Domain Boundaries: An Automated, Non-Homology-Based Method. IEEE Intell. Syst. 20(6): 26-33 (2005)
Coauthor Index
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