Fast unfolding of communities in large networks

Cited by (275)

Items 101–200 of 275

1. BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
   Singhal, Vipul, Chou, Nigel, Lee, Joseph, Yue, Yifei, Liu, Jinyue, Chock, Wan Kee, Lin, Li, Chang, Yun-Ching, Teo, Erica Mei Ling, Aow, Jonathan et al. · 2024 · Nature Genetics
2. Transcriptional Atlas of Intestinal Immune Cells Reveals that Neuropeptide α-CGRP Modulates Group 2 Innate Lymphoid Cell Responses
   Xu, Heping, Ding, Jiarui, Porter, Caroline B.M., Wallrapp, Antonia, Tabaka, Marcin, Ma, Sai, Fu, Shujie, Guo, Xuanxuan, Riesenfeld, Samantha J., Su, Chienwen et al. · 2019 · Immunity
3. Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion
   Frangieh, Chris J., Melms, Johannes C., Thakore, Pratiksha I., Geiger-Schuller, Kathryn R., Ho, Patricia, Luoma, Adrienne M., Cleary, Brian, Jerby-Arnon, Livnat, Malu, Shruti, Cuoco, Michael S. et al. · 2021 · Nature Genetics
4. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android
   Dehling, Tobias, Gao, Fangjian, Schneider, Stephan, Sunyaev, Ali · 2015 · JMIR mHealth and uHealth
5. The human connectome in Alzheimer disease — relationship to biomarkers and genetics
   Yu, Meichen, Sporns, Olaf, Saykin, Andrew J. · 2021 · Nature Reviews Neurology
6. Topologically Reorganized Connectivity Architecture of Default-Mode, Executive-Control, and Salience Networks across Working Memory Task Loads
   Liang, Xia, Zou, Qihong, He, Yong, Yang, Yihong · 2016 · Cerebral Cortex
7. Structure of the global plastic waste trade network and the impact of China’s import Ban
   Wang, Chao, Zhao, Longfeng, Lim, Ming K, Chen, Wei-Qiang, Sutherland, John W. · 2020 · Resources, Conservation and Recycling
8. Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies
   Reichart, Daniel, Lindberg, Eric L., Maatz, Henrike, Miranda, Antonio M. A., Viveiros, Anissa, Shvetsov, Nikolay, Gärtner, Anna, Nadelmann, Emily R., Lee, Michael, Kanemaru, Kazumasa et al. · 2022 · Science
9. Single-cell analysis of olfactory neurogenesis and differentiation in adult humans
   Durante, Michael A., Kurtenbach, Stefan, Sargi, Zoukaa B., Harbour, J. William, Choi, Rhea, Kurtenbach, Sarah, Goss, Garrett M., Matsunami, Hiroaki, Goldstein, Bradley J. · 2020 · Nature Neuroscience
10. APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease
    Nguyen, Aivi T., Wang, Kui, Hu, Gang, Wang, Xuran, Miao, Zhen, Azevedo, Joshua A., Suh, EunRan, Van Deerlin, Vivianna M., Choi, David, Roeder, Kathryn et al. · 2020 · Acta Neuropathologica
11. Characterizing Dysbiosis of Gut Microbiome in PD: Evidence for Overabundance of Opportunistic Pathogens
    Wallen, Zachary D., Appah, Mary, Dean, Marissa N., Sesler, Cheryl L., Factor, Stewart A., Molho, Eric, Zabetian, Cyrus P., Standaert, David G., Payami, Haydeh · 2020 · npj Parkinson s Disease
12. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
    Betzel, Richard F., Fukushima, Makoto, He, Ye, Zuo, Xi-Nian, Sporns, Olaf · 2016 · NeuroImage
13. A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk
    Blair, David R., Lyttle, Christopher S., Mortensen, Jonathan M., Bearden, Charles F., Jensen, Anders Boeck, Khiabanian, Hossein, Melamed, Rachel, Rabadan, Raul, Bernstam, Elmer V., Brunak, Søren et al. · 2013 · Cell
14. Identifying patients with Alzheimer’s disease using resting-state fMRI and graph theory
    Khazaee, Ali, Ebrahimzadeh, Ata, Babajani-Feremi, Abbas · 2015 · Clinical Neurophysiology
15. In vivo CRISPR screens reveal the landscape of immune evasion pathways across cancer
    Dubrot, Juan, Du, Peter P., Lane-Reticker, Sarah Kate, Kessler, Emily A., Muscato, Audrey J., Mehta, Arnav, Freeman, Samuel S., Allen, Peter M., Olander, Kira E., Ockerman, Kyle M. et al. · 2022 · Nature Immunology
16. Extracting and mapping industry 4.0 technologies using wikipedia
    Chiarello, Filippo, Trivelli, Leonello, Bonaccorsi, Andrea, Fantoni, Gualtiero · 2018 · Computers in Industry
17. Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing Data
    Xi, Nan Miles, Li, Jingyi Jessica · 2021 · Cell Systems
18. Decoding molecular and cellular heterogeneity of mouse nucleus accumbens
    Chen, Renchao, Blosser, Timothy R., Djekidel, Mohamed N., Hao, Junjie, Bhattacherjee, Aritra, Chen, Wenqiang, Tuesta, Luis M., Zhuang, Xiaowei, Zhang, Yi · 2021 · Nature Neuroscience
19. Chimpanzee face recognition from videos in the wild using deep learning
    Schofield, Daniel, Nagrani, Arsha, Zisserman, Andrew, Hayashi, Misato, Matsuzawa, Tetsuro, Biro, Dora, Carvalho, Susana · 2019 · Science Advances
20. Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
    Sun, Shiquan, Zhu, Jiaqiang, Ma, Ying, Zhou, Xiang · 2019 · Genome biology
21. Integration of gene expression and brain-wide connectivity reveals the multiscale organization of mouse hippocampal networks
    Bienkowski, Michael S., Bowman, Ian, Song, Monica Y., Gou, Lin, Ard, Tyler, Cotter, Kaelan, Zhu, Muye, Benavidez, Nora L., Yamashita, Seita, Abu-Jaber, Jaspar et al. · 2018 · Nature Neuroscience
22. Going viral: How a single tweet spawned a COVID-19 conspiracy theory on Twitter
    Gruzd, Anatoliy, Mai, Philip · 2020 · Big Data & Society
23. Wiring cost and topological participation of the mouse brain connectome
    Rubinov, Mikail, Ypma, Rolf J. F., Watson, Charles, Bullmore, Edward T. · 2015 · Proceedings of the National Academy of Sciences
24. Single-cell RNA sequencing identifies senescent cerebromicrovascular endothelial cells in the aged mouse brain
    Kiss, Tamas, Nyúl-Tóth, Ádám, Balasubramanian, Priya, Tarantini, Stefano, Ahire, Chetan, DelFavero, Jordan, Yabluchanskiy, Andriy, Csipo, Tamas, Farkas, Eszter, Wiley, Graham et al. · 2020 · GeroScience
25. Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments
    Jackson, Christopher A, Castro, Dayanne M, Saldi, Giuseppe-Antonio, Bonneau, Richard, Gresham, David · 2020 · eLife
26. Default mode network abnormalities in posttraumatic stress disorder: A novel network-restricted topology approach
    Akiki, Teddy J., Averill, Christopher L., Wrocklage, Kristen M., Scott, J. Cobb, Averill, Lynnette A., Schweinsburg, Brian, Alexander-Bloch, Aaron, Martini, Brenda, Southwick, Steven M., Krystal, John H. et al. · 2018 · NeuroImage
27. What is the price of a skill? The value of complementarity
    Stephany, Fabian, Teutloff, Ole · 2024 · Research Policy
28. Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood
    Miskovic, Vladimir, Ma, Xinpei, Chou, Chun-An, Fan, Miaolin, Owens, Max, Sayama, Hiroki, Gibb, Brandon E. · 2015 · NeuroImage
29. Exploring the Morphospace of Communication Efficiency in Complex Networks
    Goñi, Joaquín, Avena-Koenigsberger, Andrea, Velez de Mendizabal, Nieves, van den Heuvel, Martijn P., Betzel, Richard F., Sporns, Olaf · 2013 · PLoS ONE
30. Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging
    Kimmel, Jacob C., Penland, Lolita, Rubinstein, Nimrod D., Hendrickson, David G., Kelley, David R., Rosenthal, Adam Z. · 2019 · Genome Research
31. Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis
    Roussarie, Jean-Pierre, Yao, Vicky, Rodriguez-Rodriguez, Patricia, Oughtred, Rose, Rust, Jennifer, Plautz, Zakary, Kasturia, Shirin, Albornoz, Christian, Wang, Wei, Schmidt, Eric F. et al. · 2020 · Neuron
32. Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology
    Dehkordi, Shiva Kazempour, Walker, Jamie, Sah, Eric, Bennett, Emma, Atrian, Farzaneh, Frost, Bess, Woost, Benjamin, Bennett, Rachel E., Orr, Timothy C., Zhou, Yingyue et al. · 2021 · Nature Aging
33. SLICE: determining cell differentiation and lineage based on single cell entropy
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34. Controlled by the algorithm, coached by the crowd – how HRM activities take shape on digital work platforms in the gig economy
    Waldkirch, Matthias, Bucher, Eliane, Schou, Peter Kalum, Grünwald, Eduard · 2021 · The International Journal of Human Resource Management
35. Directed evolution of adeno-associated virus for efficient gene delivery to microglia
    Lin, Rui, Zhou, Youtong, Yan, Ting, Wang, Ruiyu, Li, Heng, Wu, Zhaofa, Zhang, Xinshuang, Zhou, Xiangyu, Zhao, Fei, Zhang, Li et al. · 2022 · Nature Methods
36. Thyroid hormone regulates distinct paths to maturation in pigment cell lineages
    Saunders, Lauren M, Mishra, Abhishek K, Aman, Andrew J, Lewis, Victor M, Toomey, Matthew B, Packer, Jonathan S, Qiu, Xiaojie, McFaline-Figueroa, Jose L, Corbo, Joseph C, Trapnell, Cole et al. · 2019 · eLife
37. Uncovering social network sybils in the wild
    Yang, Zhi, Wilson, Christo, Wang, Xiao, Gao, Tingting, Zhao, Ben Y., Dai, Yafei · 2011 · Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
38. Cobolt: integrative analysis of multimodal single-cell sequencing data
    Gong, Boying, Zhou, Yun, Purdom, Elizabeth · 2021 · Genome Biology
39. Dynamic network structure of interhemispheric coordination
    Doron, Karl W., Bassett, Danielle S., Gazzaniga, Michael S. · 2012 · Proceedings of the National Academy of Sciences
40. Development of an in vitro human liver system for interrogating nonalcoholic steatohepatitis
    Feaver, Ryan E., Cole, Banumathi K., Lawson, Mark J., Hoang, Stephen A., Marukian, Svetlana, Blackman, Brett R., Figler, Robert A., Sanyal, Arun J., Wamhoff, Brian R., Dash, Ajit · 2016 · JCI Insight
41. Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens
    Wu, Zhenqin, Trevino, Alexandro E., Wu, Eric, Swanson, Kyle, Kim, Honesty J., D’Angio, H. Blaize, Preska, Ryan, Charville, Gregory W., Dalerba, Piero D., Egloff, Ann Marie et al. · 2022 · Nature Biomedical Engineering
42. Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design
    Hie, Brian, Bryson, Bryan D., Berger, Bonnie · 2020 · Cell Systems
43. A computational approach to ‘The Image of the City’
    Filomena, Gabriele, Verstegen, Judith A., Manley, Ed · 2019 · Cities
44. Insights into multimodal imaging classification of ADHD
    Colby, John B., Rudie, Jeffrey D., Brown, Jesse A., Douglas, Pamela K., Cohen, Mark S., Shehzad, Zarrar · 2012 · Frontiers in Systems Neuroscience
45. Quantifying echo chamber effects in information spreading over political communication networks
    Cota, Wesley, Ferreira, Silvio C., Pastor-Satorras, Romualdo, Starnini, Michele · 2019 · EPJ Data Science
46. Detecting hierarchical genome folding with network modularity
    Norton, Heidi K, Emerson, Daniel J, Huang, Harvey, Kim, Jesi, Titus, Katelyn R, Gu, Shi, Bassett, Danielle S, Phillips-Cremins, Jennifer E · 2018 · Nature Methods
47. Efficiency of a “small-world” brain network depends on consciousness level: A resting-state FMRI study
    Uehara, T., Yamasaki, T., Okamoto, T., Koike, T., Kan, S., Miyauchi, S., Kira, J.-i., Tobimatsu, S. · 2014 · Cerebral Cortex
48. Mapping Multiplex Hubs in Human Functional Brain Networks
    De Domenico, Manlio, Sasai, Shuntaro, Arenas, Alex · 2016 · Frontiers in Neuroscience
49. Large-scale brain network dynamics supporting adolescent cognitive control
    Dwyer, Dominic B., Harrison, Ben J., Yücel, Murat, Whittle, Sarah, Zalesky, Andrew, Pantelis, Christos, Allen, Nicholas B., Fornito, Alex · 2014 · The Journal of Neuroscience
50. Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated Learning
    Xia, Mengran, Jin, Dawei, Chen, Jingyu · 2023 · IEEE Transactions on Intelligent Transportation Systems
51. Integrated systems analysis reveals a molecular network underlying autism spectrum disorders
    Li, Jingjing, Shi, Minyi, Ma, Zhihai, Zhao, Shuchun, Euskirchen, Ghia, Ziskin, Jennifer, Urban, Alexander, Hallmayer, Joachim, Snyder, Michael · 2014 · Molecular Systems Biology
52. Bimodal Distribution and Co-Bursting in Review Spam Detection
    Li, Huayi, Fei, Geli, Wang, Shuai, Liu, Bing, Shao, Weixiang, Mukherjee, Arjun, Shao, Jidong · 2017 · Proceedings of the 26th International Conference on World Wide Web
53. The human microbiome: A hot spot of microbial horizontal gene transfer
    Liu, Li, Chen, Xiaowei, Skogerbø, Geir, Zhang, Peng, Chen, Runsheng, He, Shunmin, Huang, Da-Wei · 2012 · Genomics
54. Information processing architecture of functionally defined clusters in the macaque cortex
    Shen, Kelly, Bezgin, Gleb, Hutchison, R. Matthew, Gati, Joseph S., Menon, Ravi S., Everling, Stefan, McIntosh, Anthony R. · 2012 · The Journal of Neuroscience
55. Clustering of single-cell multi-omics data with a multimodal deep learning method
    Lin, Xiang, Tian, Tian, Wei, Zhi, Hakonarson, Hakon · 2022 · Nature Communications
56. Neuronal APOE4 removal protects against tau-mediated gliosis, neurodegeneration and myelin deficits
    Koutsodendris, Nicole, Blumenfeld, Jessica, Agrawal, Ayushi, Traglia, Michela, Grone, Brian, Zilberter, Misha, Yip, Oscar, Rao, Antara, Nelson, Maxine R., Hao, Yanxia et al. · 2023 · Nature Aging
57. Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs
    Boshmaf, Yazan, Logothetis, Dionysios, Siganos, Georgos, Leria, Jorge, Lorenzo, Jose, Ripeanu, Matei, Beznosov, Konstantin · 2015 · Proceedings 2015 Network and Distributed System Security Symposium
58. The operationalization of “fields” as <scp>WoS</scp> subject categories ( <scp>WC</scp> s) in evaluative bibliometrics: The cases of “library and information science” and “science &amp; technology studies”
    Leydesdorff, Loet, Bornmann, Lutz · 2016 · Journal of the Association for Information Science and Technology
59. Falling into the Echo Chamber: The Italian Vaccination Debate on Twitter
    Cossard, Alessandro, De Francisci Morales, Gianmarco, Kalimeri, Kyriaki, Mejova, Yelena, Paolotti, Daniela, Starnini, Michele · 2020 · Proceedings of the International AAAI Conference on Web and Social Media
60. Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases
    Fleck, Jonas Simon, Sanchís-Calleja, Fátima, He, Zhisong, Santel, Malgorzata, Boyle, Michael James, Camp, J. Gray, Treutlein, Barbara · 2021 · Cell Stem Cell
61. Human ESC-derived chimeric mouse models of Huntington's disease reveal cell-intrinsic defects in glial progenitor cell differentiation
    Osipovitch, Mikhail, Asenjo Martinez, Andrea, Mariani, John N., Cornwell, Adam, Dhaliwal, Simrat, Zou, Lisa, Chandler-Militello, Devin, Wang, Su, Li, Xiaojie, Benraiss, Sarah-Jehanne et al. · 2019 · Cell Stem Cell
62. Disrupted modular organization of resting-state cortical functional connectivity in U.S. military personnel following concussive ‘mild’ blast-related traumatic brain injury
    Han, Kihwan, Mac Donald, Christine L., Johnson, Ann M., Barnes, Yolanda, Wierzechowski, Linda, Zonies, David, Oh, John, Flaherty, Stephen, Fang, Raymond, Raichle, Marcus E. et al. · 2014 · NeuroImage
63. A Monte Carlo evaluation of weighted community detection algorithms
    Gates, Kathleen M., Henry, Teague, Steinley, Doug, Fair, Damien A. · 2016 · Frontiers in Neuroinformatics
64. The APOE-R136S mutation protects against APOE4-driven tau pathology, neurodegeneration, and neuroinflammation
    Nelson, Maxine R., Liu, Peng, Agrawal, Ayushi, Yip, Oscar, Blumenfeld, Jessica, Traglia, Michela, Kim, Min Joo, Koutsodendris, Nicole, Rao, Antara, Grone, Brian et al. · 2023 · Nature Neuroscience
65. Atypical flexibility in dynamic functional connectivity quantifies the severity in autism spectrum disorder
    Harlalka, Vatika, Bapi, Raju S., Vinod, P. K., Roy, Dipanjan · 2019 · Frontiers in Human Neuroscience
66. Political polarization of news media and influencers on Twitter in the 2016 and 2020 US presidential elections
    Flamino, James, Galeazzi, Alessandro, Feldman, Stuart, Macy, Michael W., Cross, Brendan, Zhou, Zhenkun, Serafino, Matteo, Bovet, Alexandre, Makse, Hernán A., Szymanski, Boleslaw K. · 2023 · Nature Human Behaviour
67. scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
    Schmid, Katharina T., Höllbacher, Barbara, Cruceanu, Cristiana, Böttcher, Anika, Lickert, Heiko, Binder, Elisabeth B., Theis, Fabian J., Heinig, Matthias · 2021 · Nature Communications
68. Organizing Heterogeneous Samples Using Community Detection of GIMME-Derived Resting State Functional Networks
    Gates, Kathleen M., Molenaar, Peter C. M., Iyer, Swathi P., Nigg, Joel T., Fair, Damien A. · 2014 · PLoS ONE
69. Multiomics of Tissue Extracellular Vesicles Identifies Unique Modulators of Atherosclerosis and Calcific Aortic Valve Stenosis
    Blaser, Mark C., Buffolo, Fabrizio, Halu, Arda, Turner, Mandy E., Schlotter, Florian, Higashi, Hideyuki, Pantano, Lorena, Clift, Cassandra L., Saddic, Louis A., Atkins, Samantha K. et al. · 2023 · Circulation
70. Sequences of purchases in credit card data reveal lifestyles in urban populations
    Di Clemente, Riccardo, Luengo-Oroz, Miguel, Travizano, Matias, Xu, Sharon, Vaitla, Bapu, González, Marta C. · 2018 · Nature Communications
71. Dynamic causal brain circuits during working memory and their functional controllability
    Cai, Weidong, Ryali, Srikanth, Pasumarthy, Ramkrishna, Talasila, Viswanath, Menon, Vinod · 2021 · Nature Communications
72. Mesolimbic Dopamine Function Is Related to Salience Network Connectivity: An Integrative Positron Emission Tomography and Magnetic Resonance Study
    McCutcheon, Robert A., Nour, Matthew M., Dahoun, Tarik, Jauhar, Sameer, Pepper, Fiona, Expert, Paul, Veronese, Mattia, Adams, Rick A., Turkheimer, Federico, Mehta, Mitul A. et al. · 2019 · Biological Psychiatry
73. The purinergic P2Y14 receptor links hepatocyte death to hepatic stellate cell activation and fibrogenesis in the liver
    Mederacke, Ingmar, Filliol, Aveline, Affo, Silvia, Nair, Ajay, Hernandez, Celine, Sun, Qiuyan, Hamberger, Florian, Brundu, Francesco, Chen, Yu, Ravichandra, Aashreya et al. · 2022 · Science Translational Medicine
74. RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
    Wang, Zefan, Liu, Zichuan, Zhang, Yingying, Zhong, Aoxiao, Wang, Jihong, Yin, Fengbin, Fan, Lunting, Wu, Lingfei, Wen, Qingsong · 2024 · Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
75. Modular gateway-ness connectivity and structural core organization in maritime network science
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76. Emergent Complex Network Geometry
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77. Aging induces aberrant state transition kinetics in murine muscle stem cells
    Kimmel, Jacob C., Hwang, Ara B., Scaramozza, Annarita, Marshall, Wallace F., Brack, Andrew S. · 2020 · Development
78. Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench
    Chazarra-Gil, Ruben, van Dongen, Stijn, Kiselev, Vladimir Yu, Hemberg, Martin · 2021 · Nucleic Acids Research
79. Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
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80. Detection of malicious social bots: A survey and a refined taxonomy
    Latah, Majd · 2020 · Expert Systems with Applications
81. Characterizing the OpenSea NFT Marketplace
    White, Bryan, Mahanti, Aniket, Passi, Kalpdrum · 2022 · Companion Proceedings of the Web Conference 2022
82. Novel insights from a multiomics dissection of the Hayflick limit
    Chan, Michelle, Yuan, Han, Soifer, Ilya, Maile, Tobias M, Wang, Rebecca Y, Ireland, Andrea, O'Brien, Jonathon J, Goudeau, Jérôme, Chan, Leanne JG, Vijay, Twaritha et al. · 2022 · eLife
83. ChatGPT integration within nursing education and its implications for nursing students: a systematic review and text network analysis
    Gunawan, Joko, Aungsuroch, Yupin, Montayre, Jed · 2024 · Nurse Education Today
84. Measuring exposure to misinformation from political elites on Twitter
    Mosleh, Mohsen, Rand, David G. · 2022 · Nature Communications
85. Enhanced cortical neural stem cell identity through short SMAD and WNT inhibition in human cerebral organoids facilitates emergence of outer radial glial cells
    Rosebrock, Daniel, Arora, Sneha, Mutukula, Naresh, Volkman, Rotem, Gralinska, Elzbieta, Balaskas, Anastasios, Aragonés Hernández, Amèlia, Buschow, René, Brändl, Björn, Müller, Franz-Josef et al. · 2022 · Nature Cell Biology
86. The Anchoring Effect in Decision-Making with Visual Analytics
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87. Functional properties of resting state networks in healthy full-term newborns
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88. Relationship of white matter network topology and cognitive outcome in adolescents with d-transposition of the great arteries
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89. The role of hidden influentials in the diffusion of online information cascades
    Baños, Raquel A, Borge-Holthoefer, Javier, Moreno, Yamir · 2013 · EPJ Data Science
90. Interpretation of cancer mutations using a multiscale map of protein systems
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91. The Australian Twittersphere in 2016: Mapping the Follower/Followee Network
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92. “Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship?
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93. Detecting multiple communities using quantum annealing on the D-Wave system
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94. Multiscale PHATE identifies multimodal signatures of COVID-19
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95. Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy
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96. Mapping the multiscale structure of biological systems
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97. Resolving anatomical and functional structure in human brain organization: identifying mesoscale organization in weighted network representations
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98. Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq
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99. Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment
    Medaglia, John D., Satterthwaite, Theodore D., Kelkar, Apoorva, Ciric, Rastko, Moore, Tyler M., Ruparel, Kosha, Gur, Ruben C., Gur, Raquel E., Bassett, Danielle S. · 2018 · NeuroImage
100. Data-Driven Subtyping of Executive Function–Related Behavioral Problems in Children
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