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Integrative analysis of genomic and transcriptomic data informs precancer progression in the pancreas
Date: November 4, 2025 PMID: PMC12637499 Category: N/A Authors: Kathleen Noller, Jiaying Lai, Daniel Lesperance, Ricky S Adkins, Ahmed Elhossiny, Paola A Guerrero, Kimal I Rajapakshe, Anirban Maitra, Michelle Giglio, Anup Mahurkar, Owen White, Marina Pasca Di Magliano, Michael F Ochs, Luciane T Kagohara, Laura D Wood, Rachel Karchin, Elana J Fertig Abstract: Pancreatic ductal adenocarcinoma (PDAC) arises from heterogeneous precursor lesions, including intraductal papilla
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Feb 242 min read
Randomized optimal selection design for dose optimization
Date: October 8, 2025 PMID: PMC12505323 Category: N/A Authors: Shuqi Wang, Ying Yuan, Suyu Liu Abstract: The US Food and Drug Administration (FDA) launched Project Optimus to shift the objective of dose selection from the maximum tolerated dose to the optimal biological dose (OBD), optimizing the benefit-risk tradeoff. One approach recommended by the FDA's guidance is to conduct randomized trials comparing multiple doses. In this paper, using the selection design framewo
bgtaylor1
Nov 11, 20252 min read
stImage: a versatile framework for optimizing spatial transcriptomic analysis through customizable deep histology and location informed integration
Date: August 31, 2025 PMID: PMC12409783 Category: N/A Authors: Yu Wang, Haichun Yang, Ruining Deng, Yuankai Huo, Qi Liu, Yu Shyr, Shilin Zhao Abstract: 40905789 Spatial transcriptomics (ST) integrates gene expression data with the spatial organization of cells and their associated histology, offering unprecedented insights into tissue biology. While existing methods incorporate either location-based or histology-informed information, none fully synergize gene expression, hist
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Nov 11, 20251 min read
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