Quantitative Methods

Authors and titles for q-bio.QM in Apr 2024

[1]  arXiv:2404.01358 [pdf, other]

Title: Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists

Authors: Alon Bartal, Kathleen M. Jagodnik, Nava Pliskin, Abraham Seidmann

Comments: 19 pages, 7 figures, 3 tables, 1 Appendix table

Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Information Retrieval (cs.IR); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[2]  arXiv:2404.01514 [pdf, ps, other]

Title: A drug classification pipeline for Medicaid claims using RxNorm

Authors: Nicholas Williams, Kara E. Rudolph

Subjects: Quantitative Methods (q-bio.QM); Databases (cs.DB)

[3]  arXiv:2404.01698 [pdf, ps, other]

Title: Detection of bromochloro alkanes in indoor dust using a novel CP-Seeker data integration tool

Authors: Thomas J Mcgrath (ONIRIS, LABERCA, INRAE), Julien Saint-Vanne (ONIRIS, LABERCA, INRAE), Sébastien Hutinet (ONIRIS, LABERCA, INRAE), Walter Vetter, Giulia Poma (UA), Yukiko Fujii (UA), Robin E Dodson, Boris Johnson-Restrepo, Dudsadee Muenhor, Bruno Le Bizec (ONIRIS, LABERCA, INRAE), Gaud Dervilly (ONIRIS, LABERCA, INRAE), Adrian Covaci (UA), Ronan Cariou (ONIRIS, LABERCA, INRAE)

Subjects: Quantitative Methods (q-bio.QM)

[4]  arXiv:2404.02465 [pdf, other]

Title: DiffFit: Visually-Guided Differentiable Fitting of Molecule Structures to Cryo-EM Map

Authors: Deng Luo, Zainab Alsuwaykit, Dawar Khan, Ondřej Strnad, Tobias Isenberg, Ivan Viola

Comments: 10 pages, 6 figures, 2 tables, submitted to IEEE VIS 2024

Subjects: Quantitative Methods (q-bio.QM)

[5]  arXiv:2404.03270 [pdf, other]

Title: Riemannian L-systems: Modeling growing forms in curved spaces

Authors: Christophe Godin, Frédéric Boudon

Subjects: Quantitative Methods (q-bio.QM)

[6]  arXiv:2404.03516 [pdf, ps, other]

Title: Drug-target interaction prediction by integrating heterogeneous information with mutual attention network

Authors: Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhana, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen, Peng Li

Subjects: Quantitative Methods (q-bio.QM)

[7]  arXiv:2404.04086 [pdf, other]

Title: A first passage model of intravitreal drug delivery and residence time, in relation to ocular geometry, individual variability, and injection location

Authors: Patricia Lamirande, Eamonn A. Gaffney, Michael Gertz, Philip K. Maini, Jessica R. Crawshaw, Antonello Caruso

Subjects: Quantitative Methods (q-bio.QM); Analysis of PDEs (math.AP)

[8]  arXiv:2404.04299 [pdf, other]

Title: GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console

Authors: Anindita Nath (1), Savannah Mwesigwa (1), Yulin Dai (1), Xiaoqian Jiang (2), Zhongming Zhao (1 and 3) ((1) Center for Precision Health, McWilliams School of Biomedical Informatics, UT Health Houston, TX (2) Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, UT Health Houston, TX, (3) MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX)

Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI)

[9]  arXiv:2404.04345 [pdf, other]

Title: System and Method to Determine ME/CFS and Long COVID Disease Severity Using a Wearable Sensor

Authors: Yifei Sun, Suzanne D. Vernon, Shad Roundy

Subjects: Quantitative Methods (q-bio.QM); Computers and Society (cs.CY); Applications (stat.AP)

[10]  arXiv:2404.04726 [pdf, ps, other]

Title: Convolutional Neural Network Transformer (CNNT) for Fluorescence Microscopy image Denoising with Improved Generalization and Fast Adaptation

Authors: Azaan Rehman, Alexander Zhovmer, Ryo Sato, Yosuke Mukoyama, Jiji Chen, Alberto Rissone, Rosa Puertollano, Harshad Vishwasrao, Hari Shroff, Christian A. Combs, Hui Xue

Subjects: Quantitative Methods (q-bio.QM)

[11]  arXiv:2404.04755 [pdf, ps, other]

Title: A probabilistic model of relapse in drug addiction

Authors: Sayun Mao, Tom Chou, Maria D'Orsogna

Comments: 19 pages, 12 figures

Subjects: Quantitative Methods (q-bio.QM); Neurons and Cognition (q-bio.NC)

[12]  arXiv:2404.05762 [pdf, ps, other]

Title: Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis

Authors: Fatma Zahra Abdeldjouad, Menaouer Brahami, Mohammed Sabri

Comments: Paper has been accepted at the IEEE Challenges and Innovations on TIC (IEEE I2CIT) International Conference

Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[13]  arXiv:2404.06699 [pdf, other]

Title: Oxygen, Angiogenesis, Cancer and Immune Interplay in Breast Tumor Micro-Environment: A Computational Investigation

Authors: Navid Mohammad Mirzaei, Panayotis G. Kevrekidis, Leili Shahriyari

Subjects: Quantitative Methods (q-bio.QM)

[14]  arXiv:2404.07239 [pdf, ps, other]

Title: Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis

Authors: Milad Yousefi, Shadi Farabi Maleki, Ali Jafarizadeh, Mahya Ahmadpour Youshanlui, Aida Jafari, Siamak Pedrammehr, Roohallah Alizadehsani, Ryszard Tadeusiewicz, Pawel Plawiak

Comments: 50 pages, 8 figures, 1 table, 119 references

Subjects: Quantitative Methods (q-bio.QM); Artificial Intelligence (cs.AI); Image and Video Processing (eess.IV)

[15]  arXiv:2404.07325 [pdf, ps, other]

Title: Assessing Engraftment Following Fecal Microbiota Transplant

Authors: Chloe Herman, Bridget M. Barker, Thais F. Bartelli, Vidhi Chandra, Rosa Krajmalnik-Brown, Mary Jewell, Le Li, Chen Liao, Florencia McAllister, Khemlal Nirmalkar, Joao B. Xavier, J. Gregory Caporaso

Comments: 18 pages, 6 figures, 2 supplemental tables

Subjects: Quantitative Methods (q-bio.QM)

[16]  arXiv:2404.08019 [pdf, other]

Title: Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks

Authors: Lena Podina, Ali Ghodsi, Mohammad Kohandel

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph)

[17]  arXiv:2404.08023 [pdf, other]

Title: Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis

Authors: Zeyu Zhang, Yuanshen Zhao, Jingxian Duan, Yaou Liu, Hairong Zheng, Dong Liang, Zhenyu Zhang, Zhi-Cheng Li

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG)

[18]  arXiv:2404.08437 [pdf, other]

Title: Role of Noise in the Fairen-Velarde model of bacterial respiration

Authors: Soumyadeep Kundu, Muktish Acharyya

Comments: 12 pages Latex including 7 captioned figures

Subjects: Quantitative Methods (q-bio.QM)

[19]  arXiv:2404.08711 [pdf, ps, other]

Title: Drug Repurposing for Parkinson's Disease Using Random Walk With Restart Algorithm and the Parkinson's Disease Ontology Database

Authors: Pratham Kankariya, Rachita Rode, Kevin Mudaliar, Prof. Pranali Hatode

Comments: 5 pages, Final Year Engineering Project on Machine Learning and Healthcare Industry

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Biomolecules (q-bio.BM)

[20]  arXiv:2404.08722 [pdf, other]

Title: VADA: a Data-Driven Simulator for Nanopore Sequencing

Authors: Jonas Niederle, Simon Koop, Marc Pagès-Gallego, Vlado Menkovski

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG)

[21]  arXiv:2404.10354 [pdf, ps, other]

Title: Physical formula enhanced multi-task learning for pharmacokinetics prediction

Authors: Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang

Subjects: Quantitative Methods (q-bio.QM); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)

[22]  arXiv:2404.10806 [pdf, ps, other]

Title: The theoretical basis of reservoir pressure in arteries

Authors: Kim H. Parker, Alun D. Hughes

Subjects: Quantitative Methods (q-bio.QM)

[23]  arXiv:2404.11087 [pdf, other]

Title: FrackyFrac: A Standalone UniFrac Calculator

Authors: Amit Lavon, Smadar Shilo, Ayya Keshet, Eran Segal

Subjects: Quantitative Methods (q-bio.QM)

[24]  arXiv:2404.12029 [pdf, other]

Title: KnotResolver: Tracking self-intersecting filaments in microscopy using directed graphs

Authors: Dhruv Khatri, Shivani A. Yadav, Chaitanya A. Athale

Comments: Manuscript in submission

Subjects: Quantitative Methods (q-bio.QM); Biological Physics (physics.bio-ph); Biomolecules (q-bio.BM)

[25]  arXiv:2404.13491 [pdf, other]

Title: Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models

Authors: Romain Lacombe, Neal Vaidya

Comments: Accepted at the Generative and Experimental Perspectives for Biomolecular Design Workshop at the 12th International Conference on Learning Representations, 2024

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG)