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ORCIDPatterns, Volume 1
Volume 1, Number 1, April 2020
- Jon Crowcroft:
How to Tell When a Digital Technology Is Not Ready for You. 100001 - Valerie McCutcheon, George Bray:
What Have Games Got to Do with Me? 100002
- M. Hadi Amini
, Ahmed Imteaj, Panos M. Pardalos:
Interdependent Networks: A Data Science Perspective. 100003 - Ted Habermann:
Metadata and Reuse: Antidotes to Information Entropy. 100004
- Kyle S. Van Houtan, Tyler Gagne, Clinton N. Jenkins, Lucas Joppa:
Sentiment Analysis of Conservation Studies Captures Successes of Species Reintroductions. 100005 - Hao-Yang Li, Hanting Zhao, Meng-Lin Wei, Heng-Xin Ruan, Ya Shuang, Tie Jun Cui, Philipp del Hougne, Lianlin Li:
Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing. 100006 - Nushrat Khan, Catherine J. Pink, Mike Thelwall:
Identifying Data Sharing and Reuse with Scholix: Potentials and Limitations. 100007
- Judith Cerit, Azadeh Dindarian, Naz Cilo-van Norel:
Women, AI, and the Power of Supporting Communities: A Digital Gender-Support Partnership. 100009
- Emma Gordon:
Administrative Data Research UK. 100010 - David Inman:
Rejewski & Enigma. 100011
- Victoria Slonosky, Renée Sieber:
Building a Traceable and Sustainable Historical Climate Database: Interdisciplinarity and DRAW. 100012 - Caitlin D. Wylie:
Who Should Do Data Ethics? 100015 - Eric Perakslis:
A Primer on Biodefense Data Science for Pandemic Preparedness. 100018 - Sarah Callaghan, Tessa Darbyshire:
The First Piece of the Pattern. 100020
Volume 1, Number 2, May 2020
- Chen Zheng, Chi Chen, Yiming Chen, Shyue Ping Ong:
Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure. 100013 - Karen Sugden, Eilis J. Hannon, Louise Arseneault, Daniel W. Belsky, David L. Corcoran, Helen L. Fisher, Renate M. Houts, Radhika Kandaswamy, Terrie E. Moffitt, Richie Poulton, Joseph A. Prinz, Line J. H. Rasmussen, Benjamin S. Williams, Chloe C. Y. Wong, Jonathan Mill, Avshalom Caspi:
Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement. 100014
- Aaron M. Ellison, Emery R. Boose, Barbara Staudt Lerner, Elizabeth Fong, Margo I. Seltzer:
The End-to-End Provenance Project. 100016
- Gopal P. Sarma, Erik Reinertsen:
Physiology as a Lingua Franca for Clinical Machine Learning. 100017
- Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. 100019
- Michaël Trazzi, Roman V. Yampolskiy:
Artificial Stupidity: Data We Need to Make Machines Our Equals. 100021 - Sarah Callaghan:
COVID-19 Is a Data Science Issue. 100022
- Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai:
Global and Local Tensor Factorization for Multi-criteria Recommender System. 100023
- Sung Yang Ho, Limsoon Wong, Wilson Wen Bin Goh:
Avoid Oversimplifications in Machine Learning: Going beyond the Class-Prediction Accuracy. 100025
- Gauthier Vernier, Hugo Caselles-Dupré, Peirre Fautrel:
Electric Dreams of Ukiyo: A Series of Japanese Artworks Created by an Artificial Intelligence. 100026 - Betsy Stanko:
From Ethnomethodologist to Data Lover: How I Became a Keen Advocate for Using Administrative Data. 100031 - John Pullinger:
Lots of Lovely Numbers, but Why Does Everyone Make It So Difficult? 100033
- Karen E. Daniels, Mary Williard Elting:
Knitting Ripples. 100034
- Noel-Ann Bradshaw:
Florence Nightingale (1820-1910): An Unexpected Master of Data. 100036
Volume 1, Number 3, June 2020
- Sean McGrath, Victoria Lin, Zilu Zhang, Lucia C. Petito, Roger W. Logan, Miguel A. Hernán, Jessica G. Young:
gfoRmula: An R Package for Estimating the Effects of Sustained Treatment Strategies via the Parametric g-formula. 100008
- Evie Brown:
Data Science Degree Apprentice. 100032
- Luis C. Aparicio, Mykola Bordyuh, Andrew J. Blumberg, Raul Rabadan:
A Random Matrix Theory Approach to Denoise Single-Cell Data. 100035
- David J. Hand, Shakeel Khan:
Validating and Verifying AI Systems. 100037
- Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh:
A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods. 100038
- Stephen Marsh, Tosan Atele-Williams, Anirban Basu, Natasha Dwyer, Peter R. Lewis, Hector Miller-Bakewell, Jeremy Pitt:
Thinking about Trust: People, Process, and Place. 100039
- Ulysse Rubens, Romain Mormont, Lassi Paavolainen, Volker Bäcker, Benjamin Pavie, Leandro A. Scholz, Gino Michiels, Martin Maska, Devrim Ünay, Graeme Ball, Renaud Hoyoux, Rémy Vandaele, Ofra Golani, Stefan G. Stanciu, Natasa Sladoje, Perrine Paul-Gilloteaux, Raphaël Marée, Sébastien Tosi:
BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. 100040
- Seung Lee:
The Sleep Blanket. 100041
- Hanrui Zhang, Kaiwen Deng, Hongyang Li, Roger L. Albin, Yuanfang Guan:
Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease. 100042
- Maria Laura Rodríguez Mendaro:
The Uruguayan Digital Data Journey. 100047 - Sarah Callaghan:
What's in a Name? How We Named Patterns. 100048
- Carly Kind:
Exit through the App Store? 100054
- Nicholas Rougeux:
Off the Staff: An Experiment in Visualizing Notes from Music Scores. 100055
Volume 1, Number 4, July 2020
- Miranda L. Lynch, Max F. Dudek, Sarah E. J. Bowman:
A Searchable Database of Crystallization Cocktails in the PDB: Analyzing the Chemical Condition Space. 100024
- Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan:
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. 100049
- Chongzhen Zhang, Jianrui Wang, Gary G. Yen, Chaoqiang Zhao, Qiyu Sun, Yang Tang, Feng Qian, Jürgen Kurths:
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey. 100050
- Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Thomas H. McCoy Jr., Kavishwar B. Wagholikar, Sebastien Vasey, Victor M. Castro, Marykate Murphy, Shawn N. Murphy:
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. 100051 - Hoora Rezaei Moghaddam, Sheela Ramanna:
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets. 100053
- Staffan I. Lindberg, Juraj Medzihorsky:
Data for Politics: Creating an International Research Infrastructure Measuring Democracy. 100056
- Anne E. Carpenter:
Bridging Domain and Data. 100064
- Inioluwa Deborah Raji:
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data. 100066 - Daniel L. Oberski:
Human Data Science. 100069 - Sarah Callaghan:
On the Importance of Data Transparency. 100070
- Tessa Darbyshire:
Do We Need a Coronavirus (Safeguards) Act 2020? Proposed Legal Safeguards for Digital Contact Tracing and Other Apps in the COVID-19 Crisis. 100072
Volume 1, Number 5, August 2020
- Abbas Salavaty, Mirana Ramialison, Peter D. Currie:
Integrated Value of Influence: An Integrative Method for the Identification of the Most Influential Nodes within Networks. 100052
- Hylke Koers, Daniel Bangert, Emilie Hermans, René van Horik, Maaike de Jong, Mustapha Mokrane:
Recommendations for Services in a FAIR Data Ecosystem. 100058
- Iñigo Ayestaran, Ana Galhoz, Elmar Spiegel, Ben Sidders, Jonathan R. Dry, Frank Dondelinger, Andreas Bender, Ultan McDermott, Francesco Iorio, Michael P. Menden:
Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens. 100065
- Arni S. R. Srinivasa Rao, Steven G. Krantz:
Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal Mapping. 100067 - Gordon S. Blair:
A Tale of Two Cities: Reflections on Digital Technology and the Natural Environment. 100068
- Najeebullah Shah, Jiaqi Li, Fanhong Li, Wenchang Chen, Haoxiang Gao, Sijie Chen, Kui Hua, Xuegong Zhang:
An Experiment on Ab Initio Discovery of Biological Knowledge from scRNA-Seq Data Using Machine Learning. 100071 - Matthew Hartley, Tjelvar S. G. Olsson:
dtoolAI: Reproducibility for Deep Learning. 100073 - Mohammadreza Nemati, Jamal Ansary, Nazafarin Nemati:
Machine-Learning Approaches in COVID-19 Survival Analysis and Discharge-Time Likelihood Prediction Using Clinical Data. 100074
- Robert J. Krawczyk:
Infinitely Variable Tiling Patterns: From Truchet to Sol LeWitt Revisited. 100084
- Daniel Wu, Nestor Davidson, Kara Walker, Bill Yock, Abhas Jha:
Three Strategies to Overcome Data-Sharing Challenges to Improve the Social Determinants of Health. 100085
- Sarah Callaghan:
Data Sharing in a Time of Pandemic. 100086 - Sarah Callaghan:
Wheels of All Colors, Shapes, and Sizes Working Together: A Vision of Common Purpose in Data Science. 100088
Volume 1, Number 6, September 2020
- Feng Bao, Yue Deng, Mulong Du, Zhiquan Ren, Sen Wan, Kenny Ye Liang, Shaohua Liu, Bo Wang, Junyi Xin, Feng Chen, David C. Christiani, Meilin Wang, Qionghai Dai:
Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning. 100057 - Andrea Cabbia, Peter A. J. Hilbers, Natal A. W. van Riel:
A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models. 100080 - Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony:
Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments. 100081 - Maurizio Porfiri, Roni Barak Ventura, Manuel Ruiz Marín:
Self-Protection versus Fear of Stricter Firearm Regulations: Examining the Drivers of Firearm Acquisitions in the Aftermath of a Mass Shooting. 100082
- Danne C. Elbers, Nathanael R. Fillmore, Sung Feng-Chi, Spyridon S. Ganas, Alexander M. Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do:
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. 100083
- Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melissa C. Smith, F. Alex Feltus:
Cellular State Transformations Using Deep Learning for Precision Medicine Applications. 100087
- Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. 100089
- Maxim V. Kuleshov, Daniel J. Stein, Daniel J. B. Clarke, Eryk Kropiwnicki, Kathleen M. Jagodnik, Alon Bartal, John Erol Evangelista, Jason Hom, Minxuan Cheng, Allison Bailey, Abigail Zhou, Laura B. Ferguson, Alexander Lachmann, Avi Ma'ayan:
The COVID-19 Drug and Gene Set Library. 100090 - Abolfazl Doostparast Torshizi, Jubao Duan, Kai Wang:
Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes. 100091 - Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma:
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. 100092 - Silu Huang, Charles Blatti, Saurabh Sinha, Aditya G. Parameswaran:
Uncovering Effective Explanations for Interactive Genomic Data Analysis. 100093
- Kheeran Dharmawardena:
Operational Readiness of Data: The Next Challenge for Data Professionals? 100094
- Yasemin Turkyilmaz-van der Velden, Nicolas Dintzner, Marta Teperek:
Reproducibility Starts from You Today. 100099 - Sarah Callaghan:
Artisanal and Industrial: The Different Methods of Data Creation. 100100
- Ganesh Mani, Tom Hope:
Viral Science: Masks, Speed Bumps, and Guard Rails. 100101
- Hylke Koers, Daniel Bangert, Emilie Hermans, René van Horik, Maaike de Jong, Mustapha Mokrane:
Recommendations for Services in a FAIR Data Ecosystem. 100104
Volume 1, Number 7, October 2020
- Arthur Andrew Meahan MacDonald, Francis Banville, Timothée Poisot:
Revisiting the Links-Species Scaling Relationship in Food Webs. 100079
- Emanuel Moss, Jacob Metcalf:
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. 100102
- Michael J. Hollaway, Graham Dean, Gordon S. Blair, Mike Brown, Peter A. Henrys, John Watkins:
Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach. 100103
- Elizabeth Arnaud, Marie-Angélique Laporte, Soonho Kim, Céline Aubert, Sabina Leonelli, Berta Miro, Laurel Cooper, Pankaj Jaiswal, Gideon Kruseman, Rosemary Shrestha, Pier Luigi Buttigieg, Christopher J. Mungall, Julian Pietragalla, Afolabi Agbona, Jacqueline Muliro, Jeffrey Detras, Vilma Hualla, Abhishek Rathore, Roma Rani Das, Ibnou Dieng, Guillaume Bauchet, Naama Menda, Cyril Pommier, Felix Shaw, David Lyon, Leroy Mwanzia, Henry Juarez, Enrico Bonaiuti, Brian Chiputwa, Oluremi Olatunbosun, Sandrine Auzoux, Esther Dzalé Yeumo, Lukas A. Mueller, Kevin A. T. Silverstein, Alexandra Lafargue, Erick Antezana, Medha Devare, Brian King:
The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. 100105
- Yuanfang Guan, Xueqing Wang, Hongyang Li, Zhenning Zhang, Xianghao Chen, Omer Siddiqui, Sara Nehring, Xiuzhen Huang:
Detecting Asymmetric Patterns and Localizing Cancers on Mammograms. 100106 - Payal Chandak, Nicholas P. Tatonetti:
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women. 100108
- Eva C. McClure, Michael Sievers, Christopher J. Brown, Christina A. Buelow, Ellen M. Ditria, Matthew A. Hayes, Ryan M. Pearson, Vivitskaia J. D. Tulloch, Richard K. F. Unsworth, Rod M. Connolly:
Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring. 100109 - Jingyi Jessica Li, Xin Tong:
Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines. 100115
- Tom A. August, Oliver L. Pescott, Alexis Joly, Pierre Bonnet:
AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery. 100116
- Sahar Farajnia:
Overcoming the Data Gap for the Remote Diagnosis of Skin Cancer. 100117
- Suw Charman-Anderson:
Ada Lovelace: A Simple Solution to a Lengthy Controversy. 100118
- Dain R. Brademan, Ian J. Miller, Nicholas W. Kwiecien, David J. Pagliarini, Michael S. Westphall, Joshua J. Coon, Evgenia Shishkova:
Argonaut: A Web Platform for Collaborative Multi-omic Data Visualization and Exploration. 100122
- Daniel Leufer:
Why We Need to Bust Some Myths about AI. 100124 - Sarah Callaghan, Tessa Darbyshire, Sahar Farajnia:
Ada Lovelace Day and Celebrating Women in STEM. 100125 - Doris Jung Lin Lee, Tarique Siddiqui, Karrie Karahalios, Aditya G. Parameswaran:
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying. 100126
Volume 1, Number 8, November 2020
- Christopher Balzer, Rama Oktavian, Mohammad Zandi, David Fairen-Jimenez, Peyman Z. Moghadam:
Wiz: A Web-Based Tool for Interactive Visualization of Big Data. 100107
- Danilo Bzdok, Denis A. Engemann, Bertrand Thirion:
Inference and Prediction Diverge in Biomedicine. 100119
- Diane C. Saunders, James Messmer, Irina Kusmartseva, Maria L. Beery, Mingder Yang, Mark A. Atkinson, Alvin C. Powers, Jean-Philippe Cartailler, Marcela Brissova:
Pancreatlas: Applying an Adaptable Framework to Map the Human Pancreas in Health and Disease. 100120
- Rayan Alshamrani, Ashrf Althbiti, Yara Alshamrani, Fatimah Alkomah, Xiaogang Ma:
Model-Driven Decision Making in Multiple Sclerosis Research: Existing Works and Latest Trends. 100121
- Kun Sun, Lishi Li, Li Ma, Yu Zhao, Lin Deng, Huating Wang, Hao Sun:
Msuite: A High-Performance and Versatile DNA Methylation Data-Analysis Toolkit. 100127
- Wenxiang Cong, Yan Xi, Paul Fitzgerald, Bruno De Man, Ge Wang:
Virtual Monoenergetic CT Imaging via Deep Learning. 100128
- Sung Yang Ho, Kimberly Phua, Limsoon Wong, Wilson Wen Bin Goh:
Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability. 100129 - Sahar Farajnia, Sarah Callaghan:
"Digits: for Good"; How Patterns Can Help. 100134
- Yoshifumi Amamoto, Ken Kojio, Atsushi Takahara, Yuichi Masubuchi, Takaaki Ohnishi:
Complex Network Representation of the Structure-Mechanical Property Relationships in Elastomers with Heterogeneous Connectivity. 100135 - Laura Koesten, Pavlos Vougiouklis, Elena Simperl, Paul Groth:
Dataset Reuse: Toward Translating Principles to Practice. 100136 - Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
Using Variational Multi-view Learning for Classification of Grocery Items. 100143
- Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr:
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. 100144
- Sarah Callaghan:
Preview of: A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives. 100146
- Paul Arthur Berkman:
The Pandemic Lens: Focusing across Time Scales for Local-Global Sustainability. 100147 - Gauthier Vernier, Hugo Caselles-Dupré, Pierre Fautrel:
Facets of AGI: Where Science Meets Spirituality. 100149 - Inioluwa Deborah Raji:
Handle with Care: Lessons for Data Science from Black Female Scholars. 100150 - The U. K. Reproducibility Network Steering Group:
Systematizing Effective Practice, Embedding It in Standard Practice. 100151
Volume 1, Number 9, December 2020
- Anhvinh Doanvo, Xiaolu Qian, Divya Ramjee, Helen Piontkivska, Angel Desai, Maimuna S. Majumder:
Machine Learning Maps Research Needs in COVID-19 Literature. 100123 - Filip Buric, Jan Zrimec, Aleksej Zelezniak:
Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra. 100137 - Madison S. Krieger, Joshua M. Moreau, Haiyu Zhang, May Chien, James L. Zehnder, Morgan Craig:
A Blueprint for Identifying Phenotypes and Drug Targets in Complex Disorders with Empirical Dynamics. 100138
- Daniel Osório, Yan Zhong, Guanxun Li, Jianhua Z. Huang, James J. Cai:
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data. 100139
- Tadashi Hidaka, Keiko Imamura, Takeshi Hioki, Terufumi Takagi, Yoshikazu Giga, Mi-Ho Giga, Yoshiteru Nishimura, Yoshinobu Kawahara, Satoru Hayashi, Takeshi Niki, Makoto Fushimi, Haruhisa Inoue:
Prediction of Compound Bioactivities Using Heat-Diffusion Equation. 100140
- Stephen R. Midway:
Principles of Effective Data Visualization. 100141
- Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray:
Deep Learning in Protein Structural Modeling and Design. 100142
- Raj Dandekar, Christopher Rackauckas, George Barbastathis:
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. 100145
- Lindsay Rutter, Richard Barker, Daniela Bezdan, Henry Cope, Sylvain V. Costes, Lovorka Degoricija, Kathleen M. Fisch, Mariano I. Gabitto, Samrawit Gebre, Stefania Giacomello, Simon Gilroy, Stefan J. Green, Christopher E. Mason, Sigrid S. Reinsch, Nathaniel J. Szewczyk, Deanne M. Taylor, Jonathan M. Galazka, Raúl Herranz, Masafumi Muratani:
A New Era for Space Life Science: International Standards for Space Omics Processing. 100148 - Daniel Steinmeier:
Diversity, Inclusion, and Digital Preservation. 100152
- David Benjamin Gomez, Zhaoyi Xu, Joseph Homer Saleh:
From Regression Analysis to Deep Learning: Development of Improved Proxy Measures of State-Level Household Gun Ownership. 100154 - Leigh Dodds:
Describing Dataset Archetypes. 100168 - Ezzy Pearson:
To Boldly Go Where No Data Stream Has Gone Before. 100171 - Lara Elisabeth Warren:
International Space Station Open-Source Data. 100172
- Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma:
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. 100173 - Andrea Cabbia, Peter A. J. Hilbers, Natal A. W. van Riel:
A Distance-Based Framework for the Characterization of Metabolic Heterogeneity in Large Sets of Genome-Scale Metabolic Models. 100174
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