Parag Mallick

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Scientific Data Analysis

Experimental Design

Mass Spectrometry

Active Learning

Top Venues

J. Comput. Biol.

Publications

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 (2024)
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)
Gautam Machiraju, Sylvia K. Plevritis, Parag Mallick
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations. ECCV (12) (2022)
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) (2020)
Arunima Srivastava, Michael Sharpnack, Kun Huang, Parag Mallick, Raghu Machiraju
PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics. PSB (2020)
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)
Hunter Boyce, Parag Mallick
Geostatistical visualization of ecological interactions in tumors. BIBM (2019)
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. J. Comput. Biol. 25 (7) (2018)
Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, Raghu Machiraju
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. PSB (2018)
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. RECOMB (2017)
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)
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)
Kyle D. Bemis, April Harry, Livia S. Eberlin, Christina Ferreira, Stephanie M. van de Ven, Parag Mallick, Mark L. Stolowitz, Olga Vitek
: an R package for statistical analysis of mass spectrometry-based imaging experiments. Bioinform. 31 (14) (2015)
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)
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)
Darren Kessner, Matt Chambers, Robert Burke, David Agus, Parag Mallick
ProteoWizard: open source software for rapid proteomics tools development. Bioinform. 24 (21) (2008)
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) (2006)
Brian M. Gurbaxani, Parag Mallick
Finding Protein Domain Boundaries: An Automated, Non-Homology-Based Method. IEEE Intell. Syst. 20 (6) (2005)