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Quantitative Methods

Authors and titles for recent submissions

[ total of 26 entries: 1-10 | 11-20 | 21-26 ]
[ showing 10 entries per page: fewer | more | all ]

Fri, 3 May 2024

[1]  arXiv:2405.00753 [pdf, other]
Title: HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
Authors: Li Wang, Yiping Li, Xiangzheng Fu, Xiucai Ye, Junfeng Shi, Gary G. Yen, Xiangxiang Zeng
Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI)
[2]  arXiv:2405.00751 [pdf, other]
Title: F$^3$low: Frame-to-Frame Coarse-grained Molecular Dynamics with SE(3) Guided Flow Matching
Authors: Shaoning Li, Yusong Wang, Mingyu Li, Jian Zhang, Bin Shao, Nanning Zheng, Jian Tang
Comments: Accepted by ICLR 2024 GEM workshop
Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[3]  arXiv:2405.01105 (cross-list from cs.CV) [pdf, other]
Title: Image segmentation of treated and untreated tumor spheroids by Fully Convolutional Networks
Authors: Matthias Streller, Soňa Michlíková, Willy Ciecior, Katharina Lönnecke, Leoni A. Kunz-Schughart, Steffen Lange, Anja Voss-Böhme
Comments: 28 pages, 21 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Quantitative Methods (q-bio.QM); Tissues and Organs (q-bio.TO)
[4]  arXiv:2405.00972 (cross-list from cs.CL) [pdf, other]
Title: CACTUS: Chemistry Agent Connecting Tool-Usage to Science
Authors: Andrew D. McNaughton, Gautham Ramalaxmi, Agustin Kruel, Carter R. Knutson, Rohith A. Varikoti, Neeraj Kumar
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Quantitative Methods (q-bio.QM)
[5]  arXiv:2405.00810 (cross-list from q-bio.MN) [pdf, other]
Title: A Simple Comparison of Biochemical Systems Theory and Metabolic Control Analysis
Authors: Herbert MM Sauro
Subjects: Molecular Networks (q-bio.MN); Quantitative Methods (q-bio.QM); Subcellular Processes (q-bio.SC)

Thu, 2 May 2024

[6]  arXiv:2405.00513 [pdf, ps, other]
Title: 3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Authors: Yuran Zhu, Guanhua Wang, Yuning Gu, Walter Zhao, Jiahao Lu, Junqing Zhu, Christina J. MacAskill, Andrew Dupuis, Mark A. Griswold, Dan Ma, Chris A. Flask, Xin Yu
Subjects: Quantitative Methods (q-bio.QM)
[7]  arXiv:2405.00070 [pdf, other]
Title: Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity
Authors: Nisha Pillai, Bindu Nanduri, Michael J Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar
Journal-ref: The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC), 2024
Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI)
[8]  arXiv:2405.00202 (cross-list from cs.LG) [pdf, other]
Title: Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
Authors: A N M Nafiz Abeer, Sanket Jantre, Nathan M Urban, Byung-Jun Yoon
Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[9]  arXiv:2405.00184 (cross-list from cs.LG) [pdf, other]
Title: Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
Authors: Jonathan Serrano-Pérez, L. Enrique Sucar
Subjects: Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)
[10]  arXiv:2405.00166 (cross-list from cs.LG) [pdf, other]
Title: Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks
Authors: Imran Nasim, Adam Nasim
Comments: Accepted into the International conference on Scientific Computation and Machine Learning 2024 (SCML 2024)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Quantitative Methods (q-bio.QM)
[ total of 26 entries: 1-10 | 11-20 | 21-26 ]
[ showing 10 entries per page: fewer | more | all ]

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