Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Cited by (1,000)

Items 401–500 of 1,000

  1. Single-Cell Transcriptome Study as Big Data
    Pingjian Yu, Wei Lin · 2016 · Genomics Proteomics & Bioinformatics
  2. Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data
    Moysés Nascimento, Fabyano Fonseca e Silva, Thelma Sáfadi, Ana Carolina Campana Nascimento, Talles Eduardo Maciel Ferreira, Laís Mayara Azevedo Barroso, Camila Ferreira Azevedo, Simone Eliza Facioni Guimarães, Nick V. L. Serão · 2017 · PLoS ONE
  3. Two-phase differential expression analysis for single cell RNA-seq
    Zhijin J. Wu, Yi Zhang, Michael L. Stitzel, Hao Wu · 2018 · Bioinformatics
  4. rCASC: reproducible classification analysis of single-cell sequencing data
    Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, Martina Olivero, Greta Romano, Sergio Rabellino, Nicola Licheri, Gennaro De Libero, Luigia Pace et al. · 2019 · GigaScience
  5. A Survey of Autoencoder Algorithms to Pave the Diagnosis of Rare Diseases
    David Pratella, Samira Ait-El-Mkadem, Sylvie Bannwarth, Véronique Paquis‐Flucklinger, Silvia Bottini · 2021 · International Journal of Molecular Sciences
  6. GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference
    Shuo Li, Yan Liu, Long-Chen Shen, Yan He, Jiangning Song, Dong‐Jun Yu · 2023 · Briefings in Bioinformatics
  7. Droplet Microarray Based on Superhydrophobic-Superhydrophilic Patterns for Single Cell Analysis
    Gabriella Jogia, Tina Tronser, Anna A. Popova, Pavel A. Levkin · 2016 · Microarrays
  8. Single cell RNA-seq data clustering using TF-IDF based methods
    Marmar R. Moussa, Ion Măndoiu · 2018 · BMC Genomics
  9. Multi-experiment nonlinear mixed effect modeling of single-cell translation kinetics after transfection
    Fabian Fröhlich, Anita Reiser, Laura Fink, Daniel Woschée, Thomas Sumner Ligon, Fabian Joachim Theis, Joachim Oskar Rädler, Jan Hasenauer · 2018 · npj Systems Biology and Applications
  10. SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement
    Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang‐Xiang Wu, Jianxin Wang · 2021 · Genomics Proteomics & Bioinformatics
  11. Transcriptional Regulation in the Immune System: One Cell at a Time
    Ananda L. Roy · 2019 · Frontiers in Immunology
  12. The impact of microRNAs on transcriptional heterogeneity and gene co-expression across single embryonic stem cells
    Gennaro Gambardella, Annamaria Carissimo, Amy F. Chen, Luisa Cutillo, Tomasz Jan Nowakowski, Diego di Bernardo, Robert H. Blelloch · 2017 · Nature Communications
  13. Microfluidic-Based Single-Cell Study: Current Status and Future Perspective
    Haiwa Wu, Jing Zhu, Yao Huang, Daming Wu, Jingyao Sun · 2018 · Molecules
  14. Interleukin 27 Protects From Gastric Atrophy and Metaplasia During Chronic Autoimmune Gastritis
    Kevin A. Bockerstett, Christine P. Petersen, Christine N. Noto, Lindsey M. Kuehm, Chun Fung Wong, Eric L. Ford, Ryan M. Teague, Jason C. Mills, James R. Goldenring, Richard J. DiPaolo · 2020 · Cellular and Molecular Gastroenterology and Hepatology
  15. Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity
    Tao Zeng, Hao Dai · 2019 · Frontiers in Genetics
  16. Picoliter enzyme reactor on a nanofluidic device exceeding the bulk reaction rate
    Koki Yamamoto, Kyojiro Morikawa, Hiroyuki Imanaka, Koreyoshi Imamura, Takehiko Kitamori · 2020 · The Analyst
  17. A robust semi-supervised NMF model for single cell RNA-seq data
    Peng Wu, Mo An, Hai-Ren Zou, Cai-Ying Zhong, Wei Wang, Chang-Peng Wu · 2020 · PeerJ
  18. Nuclear gene proximity and protein interactions shape transcript covariations in mammalian single cells
    Marcel Tarbier, Sebastian D. Mackowiak, João Frade, Silvina Catuara‐Solarz, Inna Biryukova, Eleni Gelali, Diego Bárcena Menéndez, Luis Zapata, Stephan Ossowski, Magda Bienko et al. · 2020 · Nature Communications
  19. RUNX-1 haploinsufficiency causes a marked deficiency of megakaryocyte-biased hematopoietic progenitor cells
    Brian Estevez, Sara Borst, Danuta Jadwiga Jarocha, Varun S. Sudunagunta, Michael V. Gonzalez, James P. Garifallou, Hakon H. Hakonarson, Peng Gao, Kai Tan, Paul Liu et al. · 2021 · Blood
  20. Bioinspired 3D Culture in Nanoliter Hyaluronic Acid‐Rich Core‐Shell Hydrogel Microcapsules Isolates Highly Pluripotent Human iPSCs
    Jiangsheng Xu, James G. Shamul, Nicholas A. Staten, Alisa M. White, Bin Jiang, Xiaoming He · 2021 · Small
  21. CellVoyager: AI CompBio agent generates new insights by autonomously analyzing biological data
    Samuel Alber, Bowen Chen, Eric Sun, Alina Isakova, Aaron J. Wilk, James Zou · 2026 · Nature Methods
  22. Global and targeted approaches to single-cell transcriptome characterization
    Aleksandra A. Kolodziejczyk, Tapio Lönnberg · 2017 · Briefings in Functional Genomics
  23. Tissue aging: the integration of collective and variant responses of cells to entropic forces over time
    Michael E. Todhunter, Rosalyn W. Sayaman, Masaru Miyano, Mark A. LaBarge · 2018 · Current Opinion in Cell Biology
  24. Systems-Wide Approaches in Induced Pluripotent Stem Cell Models
    Edward Lau, David T. Paik, Joseph C. Wu · 2018 · Annual Review of Pathology Mechanisms of Disease
  25. Ageing and sources of transcriptional heterogeneity
    Chrysa Nikopoulou, Swati Parekh, Peter Tessarz · 2019 · Biological Chemistry
  26. A data-driven clustering recommendation method for single-cell RNA-sequencing data
    Yu Tian, Ruiqing Zheng, Zhenlan Liang, Suning Li, Fang‐Xiang Wu, Min Li · 2021 · Tsinghua Science & Technology
  27. Single-Cell Analysis of the Impact of Host Cell Heterogeneity on Infection with Foot-and-Mouth Disease Virus
    Xiu Lan Xin, Hailong Wang, Lingling Han, Mingzhen Wang, Hui Fang, Hao Yao, Jiadai Li, Hu Zhang, Congyi Zheng, Chao Shen · 2018 · Journal of Virology
  28. Addressing heterogeneity of individual blood cancers: the need for single cell analysis
    Michael Patvin Chu, Jitra Kriangkum, Christopher Paul Venner, Irwindeep Sandhu, Joanne Hewitt, Andrew R. Belch, Linda M. Pilarski · 2016 · Cell Biology and Toxicology
  29. scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data
    Youlin Zhan, Jiahan Liu, Le Ou-Yang · 2023 · IEEE Journal of Biomedical and Health Informatics
  30. Gene expression and protein abundance: Just how associated are these molecular traits?
    Anahita Samih, Maurício Alexander de Moura Ferreira, Zoran Nikoloski · 2025 · Biotechnology Advances
  31. TASIC: determining branching models from time series single cell data
    Sabrina Rashid, Darrell N. Kotton, Ziv Bar‐Joseph · 2017 · Bioinformatics
  32. Learning regulatory models for cell development from single cell transcriptomic data
    Ann C. Babtie, Thalia E. Chan, Michael P.H. Stumpf · 2017 · Current Opinion in Systems Biology
  33. Probabilistic count matrix factorization for single cell expression data analysis
    Ghislain Durif, Laurent Modolo, Jeff Eron Mold, Sophie Lambert‐Lacroix, Franck Picard · 2019 · Bioinformatics
  34. BNC1 regulates cell heterogeneity in human pluripotent stem cell-derived epicardium
    Laure Gambardella, Sophie A. McManus, Victoria Moignard, Derya Sebukhan, Agathe Delaune, Simon Andrews, William George Bernard, Maura A. Morrison, Paul Richard Riley, Berthold Göttgens et al. · 2019 · Development
  35. Exploratory Gene Ontology Analysis with Interactive Visualization
    Junjie Zhu, Qian Zhao, Eugene Katsevich, Chiara Sabatti · 2019 · Scientific Reports
  36. Biological process activity transformation of single cell gene expression for cross-species alignment
    Hongxu Ding, Andrew P. Blair, Ying Yang, Joshua M. Stuart · 2019 · Nature Communications
  37. Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
    Bettina Mieth, James R.F. Hockley, Nico Görnitz, Marina M.-C. Vidovic, Klaus‐Robert Müller, Alex Gutteridge, Daniel Ziemek · 2019 · Scientific Reports
  38. Space: the final frontier — achieving single-cell, spatially resolved transcriptomics in plants
    Sai Guna Ranjan Gurazada, Kevin L. Cox, Kirk J. Czymmek, Blake C. Meyers · 2021 · Emerging Topics in Life Sciences
  39. MicroRNA-21 expression in single living cells revealed by fluorescence and SERS dual-response microfluidic droplet platform
    Dan Sun, Fanghao Cao, Xuan Yi, Hongyan Zhu, Guohua Qi, Weiqing Xu, Shuping Xu · 2022 · Lab on a Chip
  40. Dr.seq2: A quality control and analysis pipeline for parallel single cell transcriptome and epigenome data
    Chengchen Zhao, Shengen Shawn Hu, Xiao Huo, Yong Zhang · 2017 · PLoS ONE
  41. Identification of Genes With Enriched Expression in Early Developing Mouse Cone Photoreceptors
    Diego F. Buenaventura, Adrianne Corseri, Mark M. Emerson · 2019 · Investigative Ophthalmology & Visual Science
  42. Statistical significance of cluster membership for unsupervised evaluation of cell identities
    Neo Christopher Chung · 2020 · Bioinformatics
  43. Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations
    Alex R. Lederer, Maxine Leonardi, Lorenzo Talamanca, Daniil M. Bobrovskiy, Antonio Herrera, Colas Droin, Irina M. Khven, Hugo J. F. Carvalho, Alessandro Valente, Albert Dominguez Mantes et al. · 2024 · Nature Methods
  44. Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
    Marco Stock, Corinna Losert, Matteo Zambon, Niclas Popp, Gabriele Lubatti, Eva Hörmanseder, Matthias Heinig, Antonio Scialdone · 2025 · Molecular Systems Biology
  45. scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
    Ruoxin Li, Gerald Quon · 2019 · Genome biology
  46. Cellular Deconstruction: Finding Meaning in Individual Cell Variation
    James H. Eberwine, Junhyong Kim · 2015 · Trends in Cell Biology
  47. A robust nonlinear low-dimensional manifold for single cell RNA-seq data
    Archit Verma, Barbara Elizabeth Engelhardt · 2020 · BMC Bioinformatics
  48. Advances in Single-Cell Transcriptome Sequencing and Spatial Transcriptome Sequencing in Plants
    Zhuo Lv, Shuaijun Jiang, Shuxin Kong, Xu Zhang, Jiahui Yue, Wanqi Zhao, Long Li, Shuyan Lin · 2024 · Plants
  49. Exploring viral infection using single-cell sequencing
    Sylvie Rato, Monica Golumbeanu, Amalio Telenti, Angela Ciuffi · 2016 · Virus Research
  50. Single-cell profiling reveals GPCR heterogeneity and functional patterning during neuroinflammation
    Denise Tischner, Myriam Grimm, Harmandeep Kaur, Daniel Staudenraus, Jorge Carvalho, Mario Looso, Stefan Günther, Florian Wanke, Sonja Moos, Nelly Siller et al. · 2017 · JCI Insight
  51. Telomere heterogeneity linked to metabolism and pluripotency state revealed by simultaneous analysis of telomere length and RNA-seq in the same human embryonic stem cell
    Hua Wang, Kunshan Zhang, Yifei Liu, Yudong Fu, Shan Gao, Peng Gong, Haiying Wang, Zhongcheng Zhou, Ming Zeng, Zhenfeng Wu et al. · 2017 · BMC Biology
  52. BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process
    Alexis Boukouvalas, James J. Hensman, Magnus Rattray · 2018 · Genome biology
  53. scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information
    Yingfu Wu, Zhenqi Shi, Xiangfei Zhou, Pengyu Zhang, Xiuhui Yang, Jun Ding, Hao Wu · 2024 · Communications Biology
  54. Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning
    Xiangtao Li, Shixiong Zhang, Ka‐Chun Wong · 2018 · Bioinformatics
  55. Differential Expression Analysis in Single-Cell Transcriptomics
    Luca Alessandrì, Maddalena Arigoni, Raffaele Calogero · 2019 · Methods in molecular biology
  56. SNV identification from single-cell RNA sequencing data
    Patricia M. Schnepp, Mengjie Chen, Evan T. Keller, Xiang Zhou · 2019 · Human Molecular Genetics
  57. scDoc: correcting drop-out events in single-cell RNA-seq data
    Di Ran, Shanshan Zhang, Nicholas Lytal, Lingling An · 2020 · Bioinformatics
  58. Visualizing Single-Cell RNA-seq Data with Semisupervised Principal Component Analysis
    Zhenqiu Liu · 2020 · International Journal of Molecular Sciences
  59. A quantitative analysis of the interplay of environment, neighborhood, and cell state in 3D spheroids
    Vito RT Zanotelli, Matthias Leutenegger, Xiao‐Kang Lun, Fanny Georgi, Natalie de Souza, Bernd Bodenmiller · 2020 · Molecular Systems Biology
  60. Leveraging Single-Cell Sequencing for Chimeric Antigen Receptor T Cell Therapies
    Rocío Castellanos-Rueda, Raphaël B. Di Roberto, Fabrice S. Schlatter, Sai T. Reddy · 2021 · Trends in biotechnology
  61. The Concept of Pathogenic TH2 Cells: Collegium Internationale Allergologicum Update 2021
    Nicole Bertschi, Cecilia Bazzini, Christoph Schlapbach · 2021 · International Archives of Allergy and Immunology
  62. Exploring long non-coding RNA networks from single cell omics data
    Xue Fei Zhao, Yangming Lan, Dijun Chen · 2022 · Computational and Structural Biotechnology Journal
  63. Eomes expression identifies the early bone marrow precursor to classical NK cells
    Zhitao Liang, Hope D. Anderson, Veronica Locher, Crystal Y. O’Leary, Samantha J. Riesenfeld, Bana Jabrì, Benjamin D. McDonald, Albert S Bendelac · 2024 · Nature Immunology
  64. Diverse phenotypic and genetic responses to short-term selection in evolving Escherichia coli populations
    Marcus M. Dillon, Nicholas P. Rouillard, Brian van Dam, Romain Gallet, Vaughn S. Cooper · 2016 · Evolution
  65. Selective single cell isolation for genomics using microraft arrays
    Joshua D. Welch, Lindsay A. Williams, Matthew DiSalvo, Alicia Brandt, Raoud Marayati, Christopher E. Sims, Nancy L. Allbritton, Jan F. Prins, Jen Jen Yeh, Corbin D. Jones · 2016 · Nucleic Acids Research
  66. External Calibration with Drosophila Whole-Cell Spike-Ins Delivers Absolute mRNA Fold Changes from Human RNA-Seq and qPCR Data
    Franziska Taruttis, Maren Feist, Philipp Schwarzfischer, Wolfram Gronwald, Dieter Kube, Rainer Spang, Julia C. Engelmann · 2017 · BioTechniques
  67. Single-cell RNA-seq reveals intratumoral heterogeneity in osteosarcoma patients: A review
    Dylan D. Thomas, Ryan A. Lacinski, Brock A. Lindsey · 2023 · Journal of bone oncology
  68. Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data
    Anna Mantsoki, Guillaume Devailly, Anagha Joshi · 2016 · Computational Biology and Chemistry
  69. Case Studies in Applied Bayesian Data Science
    Centre International de Rencontres Mathématiques (Marseille), Insha Ullah, Kerrie Lee Mengersen · 2020 · Lecture notes in mathematics
  70. Temporal Dynamic Methods for Bulk RNA-Seq Time Series Data
    Sunghee Oh, Robert W. Li · 2021 · Genes
  71. Single‐cell analysis reveals metastatic cell heterogeneity in clear cell renal cell carcinoma
    Kun Liu, Rui Gao, Hao Wu, Zhe Wang, Guang Han · 2021 · Journal of Cellular and Molecular Medicine
  72. scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation
    T. Heinen, Stefano Secchia, James P. Reddington, Bingqing Zhao, Eileen E. M. Furlong, Oliver Stegle · 2022 · Genome biology
  73. Single-Cell Analysis of the Transcriptome and Epigenome
    Krystyna Mazan-Mamczarz, Jisu Ha, Supriyo De, Payel Sen · 2022 · Methods in molecular biology
  74. CellCommuNet: an atlas of cell–cell communication networks from single-cell RNA sequencing of human and mouse tissues in normal and disease states
    Qinfeng Ma, Qiang Li, Zheng Xiao, Jianbo Pan · 2023 · Nucleic Acids Research
  75. Advances, practice, and clinical perspectives in high‐throughput sequencing
    S‐J Park, Mihoko Saito-Adachi, Y Komiyama, Kenta Nakai · 2015 · Oral Diseases
  76. Single-cell RNA sequencing reveals metallothionein heterogeneity during hESC differentiation to definitive endoderm
    Junjie Lu, Anna E. Eastman, Edroaldo Lummertz da Rocha, Christelle Guillermier, Sean J. McManus, Lydia A. Finney, Cheng Zhang, Matthew L. Steinhauser, Hu Li, Paul H. Lerou · 2018 · Stem Cell Research
  77. Single-cell Sequencing in the Field of Stem Cells
    Tian Chen, Jiawei Li, Yichen Jia, Jiyan Wang, Ruirui Sang, Yi Zhang, Ruiming Rong · 2020 · Current Genomics
  78. CCPE: cell cycle pseudotime estimation for single cell RNA-seq data
    Jiajia Liu, Mengyuan Yang, Weiling Zhao, Xiaobo Zhou · 2021 · Nucleic Acids Research
  79. Tempo: an unsupervised Bayesian algorithm for circadian phase inference in single-cell transcriptomics
    Benjamin J. Auerbach, Garret A. FitzGerald, Mingyao Li · 2022 · Nature Communications
  80. A spectral method for assessing and combining multiple data visualizations
    Rong Ma, Eric Sun, James Zou · 2023 · Nature Communications
  81. PRICAI 2019: Trends in Artificial Intelligence
    Abhaya Nayak, Alok Kumar Sharma · 2019 · Lecture notes in computer science
  82. Transcriptomic signatures shaped by cell proportions shed light on comparative developmental biology
    Sophie Pantalacci, Laurent Guéguen, Coraline Petit, Anne Lambert, Renata Peterková, Marie Sémon · 2017 · Genome biology
  83. Single cell RNA-Seq reveals pre-cDCs fate determined by transcription factor combinatorial dose
    Wenji Ma, Jaeyop Lee, Daniel Backenroth, Yu Jerry Zhou, Erin C. Bush, Peter A. Sims, Kang Liu, Yufeng Shen · 2019 · BMC Molecular and Cell Biology
  84. Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests
    Hailun Wang, Pak Chung Sham, Tiejun Tong, Herbert Pang · 2019 · IEEE Journal of Biomedical and Health Informatics
  85. Single-cell alternative splicing analysis reveals dominance of single transcript variant
    Wendao Liu, Xuegong Zhang · 2020 · Genomics
  86. Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data
    Chunxiang Wang, Xin Gao, Juntao Liu · 2020 · BMC Bioinformatics
  87. Network Modeling in Biology: Statistical Methods for Gene and Brain Networks
    Y. X. Rachel Wang, Lexin Li, Jingyi Jessica Li, Haiyan Huang · 2020 · Statistical Science
  88. DEMOC: a deep embedded multi-omics learning approach for clustering single-cell CITE-seq data
    Guanhua Zou, Yilong Lin, Tianyang Han, Le Ou-Yang · 2022 · Briefings in Bioinformatics
  89. 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?
    Monika Sekelja, Jonas Paulsen, Philippe Collas · 2016 · Genome biology
  90. Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data
    Daphne Ezer, Victoria Moignard, B. Göttgens, B. Adryan · 2016 · PLoS Comput. Biol.
  91. Constructing cell lineages from single-cell transcriptomes
    Jinmiao Chen, Laurent Rénia, Florent Ginhoux · 2017 · Molecular Aspects of Medicine
  92. Cell-to-cell and genome-to-genome variability of adenovirus transcription tuned by the cell cycle
    Maarit Suomalainen, Vibhu Ranjan Prasad, Abhilash Kannan, Urs F. Greber · 2020 · Journal of Cell Science
  93. From G1 to M: a comparative study of methods for identifying cell cycle phases
    Xinyu Guo, Liang Chen · 2024 · Briefings in Bioinformatics
  94. Single-Cell RNA Sequencing of Human T Cells
    Alexandra–Chloé Villani, Karthik Shekhar · 2016 · Methods in molecular biology
  95. Cell type hierarchy reconstruction via reconciliation of multi-resolution cluster tree
    Minshi Peng, Brie Wamsley, Andrew G. Elkins, Daniel H. Geschwind, Yuting Wei, Kathryn Roeder · 2021 · Nucleic Acids Research
  96. Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction
    Andrzej Jerzy Rzepiela, Arnau Viña‐Vilaseca, Jérémie Breda, Souvik Ghosh, Afzal P Syed, Andreas J Gruber, William Aaron Grandy, Katja Eschbach, Christian Beisel, Erik Van Nimwegen et al. · 2018 · Molecular Systems Biology
  97. Towards Improving Embryo Prioritization: Parallel Next Generation Sequencing of DNA and RNA from a Single Trophectoderm Biopsy
    Noga Fuchs Weizman, Brandon A. Wyse, Ran Antes, Zenon Ibarrientos, Mugundhine Sangaralingam, Gelareh Motamedi, Valeriy Kuznyetsov, Svetlana Madjunkova, Clifford Lawrence Librach · 2019 · Scientific Reports
  98. PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing
    Hyundoo Jeong, Zhandong Liu · 2020 · Bioinformatics
  99. Single‐cell transcriptome analyses reveal heterogeneity in suspension cultures and clonal markers of CHO‐K1 cells
    Norichika Ogata, Akio Nishimura, Tomoko Matsuda, Michi Kubota, Takeshi Ōmasa · 2020 · Biotechnology and Bioengineering
  100. Aberrant newborn T cell and microbiota developmental trajectories predict respiratory compromise during infancy
    Andrew McDavid, Nathan G. Laniewski, Alex Grier, Ann Lindley Gill, Haeja A. Kessler, Heidie L. Huyck, Elizabeth Carbonell, Jeanne Holden‐Wiltse, Sanjukta Bandyopadhyay, Jennifer A. Carnahan et al. · 2022 · iScience