seaborn: statistical data visualization

Cited by (1,019)

Items 201–300 of 1,019

1. Integrating transformer-based machine learning with SERS technology for the analysis of hazardous pesticides in spinach
   Mehdi Hajikhani, Akashata Hegde, John Snyder, Jianlin Cheng, Mengshi Lin · 2024 · Journal of Hazardous Materials
2. iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia
   Anand V. Sastry, Yuan Yuan, Saugat Poudel, Kevin Rychel, Reo Yoo, Cameron R. Lamoureux, Gaoyuan Li, Joshua T. Burrows, Siddharth Chauhan, Zachary B. Haiman et al. · 2024 · PLoS Computational Biology
3. Methodological insights into ChatGPT’s screening performance in systematic reviews
   Mahbod Issaiy, Hossein Ghanaati, Shahriar Kolahi, Madjid Shakiba, Amir Hossein Jalali, Diana Zarei, Sina Kazemian, Mahsa Alborzi Avanaki, Kavous Firouznia · 2024 · BMC Medical Research Methodology
4. Large neutral amino acid levels tune perinatal neuronal excitability and survival
   Knaus, Lisa S., Basilico, Bernadette, Malzl, Daniel, Gerykova Bujalkova, Maria, Smogavec, Mateja, Schwarz, Lena A., Gorkiewicz, Sarah, Amberg, Nicole, Pauler, Florian M., Knittl-Frank, Christian et al. · 2023 · Cell
5. Chemical Geodynamics Insights From a Machine Learning Approach
   Andreas Stracke, Michael R. Willig, Felix S. Genske, Paul Béguelin, E. Todd · 2022 · Geochemistry Geophysics Geosystems
6. m6A modification of U6 snRNA modulates usage of two major classes of pre-mRNA 5’ splice site
   Matthew T Parker, Beth K Soanes, Jelena Kusakina, Antoine Larrieu, Katarzyna Knop, Nisha Joy, Friedrich Breidenbach, Anna V. Sherwood, Geoffrey J. Barton, Sebastian M. Fica et al. · 2022 · eLife
7. High-throughput telomere length measurement at nucleotide resolution using the PacBio high fidelity sequencing platform
   Cheng Yong Tham, Lai-Fong Poon, Tingdong Yan, Javier Yu Peng Koh, Muhammad Khairul Ramlee, Vania Swee Imm Teoh, Suihan Zhang, Yi Cai, Zebin Hong, Gina S. Lee et al. · 2023 · Nature Communications
8. Data-Driven Taxonomy for Antipsychotic Medication: A New Classification System
   Robert Ali McCutcheon, Paul J. Harrison, Oliver David Howes, Philip K. McGuire, David M. Taylor, Toby Pillinger · 2023 · Biological Psychiatry
9. Single cell dynamics of tumor specificity vs bystander activity in CD8+ T cells define the diverse immune landscapes in colorectal cancer
   Borràs, Daniel Morales, Verbandt, Sara, Ausserhofer, Markus, Sturm, Gregor, Lim, Jinyeong, Verge, Gil Arasa, Vanmeerbeek, Isaure, Laureano, Raquel S., Govaerts, Jannes, Sprooten, Jenny et al. · 2023 · Cell Discovery
10. Community-wide genome sequencing reveals 30 years of Darwin’s finch evolution
    Enbody, Erik D., Sendell-Price, Ashley T., Sprehn, C. Grace, Rubin, Carl-Johan, Visscher, Peter M., Grant, B. Rosemary, Grant, Peter R., Andersson, Leif · 2023 · Science
11. Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog
    S. Everett, B. Yanny, N. Kuropatkin, Eric Huff, Y. Zhang, J. Myles, Alexandra Masegian, J. Elvin-Poole, S. Allam, G. M. Bernstein et al. · 2022 · The Astrophysical Journal Supplement Series
12. Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads
    Florian V. De Rop, Joy N. Ismail, Carmen Bravo González‐Blas, Gert J. Hulselmans, Christopher Flerin, Jasper Janssens, Koen Theunis, Valerie Christiaens, Jasper Wouters, Gabriele Marcassa et al. · 2022 · eLife
13. ChemPlot, a Python Library for Chemical Space Visualization**
    Murat Cihan Sorkun, Dajt Mullaj, J. M. V. A. Koelman, Süleyman Er · 2022 · Chemistry - Methods
14. Recovering the Star Formation Histories of Recently Quenched Galaxies: The Impact of Model and Prior Choices
    Katherine A. Suess, Joel Leja, Benjamin D. Johnson, Rachel Bezanson, Jenny E. Greene, Mariska Kriek, Sidney Lower, Desika Narayanan, David J. Setton, Justin S. Spilker · 2022 · The Astrophysical Journal
15. Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®
    Angelo Antonini, Heinz Reichmann, Giovanni Gentile, Michela Garon, Chiara Tedesco, Anika K. Frank, Björn H. Falkenburger, Spyridon Konitsiotis, Konstantinos Ioannis Tsamis, George Rigas et al. · 2023 · Frontiers in Neurology
16. Evolution of the Mass–Metallicity Relation from Redshift z ≈ 8 to the Local Universe
    Danial Langeroodi, Jens Hjorth, Wenlei Chen, Patrick L. Kelly, Hayley Williams, Yu-Heng Lin, Claudia M. Scarlata, Adi Zitrin, Tom J. Broadhurst, Jose Maria Diego et al. · 2023 · The Astrophysical Journal
17. Performance of 4 Pre-Trained Sentence Transformer Models in the Semantic Query of a Systematic Review Dataset on Peri-Implantitis
    Carlo Galli, Nikolaos Donos, Elena Calciolari · 2024 · Information
18. A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data
    Oussama M’hamdi, Sándor Takács, Gábor Palotás, Riadh Ilahy, Lájos Helyes, Zoltán Pék · 2024 · Plants
19. Unsupervised Detection of Abnormal Electricity Consumption Behavior Based on Feature Engineering
    Wei Zhang, Xiaowei Dong, Huaibao Li, Jin Xu, Dan Wang · 2020 · IEEE Access
20. Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines
    Barbara De Kegel, Niall Quinn, Nicola Thompson, David J. Adams, Colm J. Ryan · 2021 · Cell Systems
21. Insights on the mutational landscape of the SARS-CoV-2 Omicron variant receptor-binding domain
    Nathaniel L. Miller, Thomas Clark, Rahul Raman, Ram Sasisekharan · 2022 · Cell Reports Medicine
22. Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit
    Mario Picciani, Wassim Gabriel, Victor Giurcoiu, Omar Osama Shouman, Firas Hamood, Ludwig Lautenbacher, Cecilia Bang Jensen, Julian Müller, Mostafa Kalhor, Armin Soleymaniniya et al. · 2023 · PROTEOMICS
23. Profibrotic monocyte-derived alveolar macrophages are expanded in patients with persistent respiratory symptoms and radiographic abnormalities after COVID-19
    Joseph Isaac Bailey, Connor H. Puritz, Karolina J. Senkow, Nikolay S. Markov, Estefani Diaz, Emmy Jonasson, Zhan Yu, Suchitra Swaminathan, Ziyan Lu, Samuel W. Fenske et al. · 2024 · Nature Immunology
24. Reply to: “Re-evaluating the evidence for a universal genetic boundary among microbial species”
    Luis M. Rodriguez‐R, Chirag Jain, Roth E. Conrad, Srinivas Aluru, Konstantinos T. Konstantinidis · 2021 · Nature Communications
25. Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM
    Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Sonal Saxena, Raj Kumar Singh · 2021 · Briefings in Bioinformatics
26. smplot: An R Package for Easy and Elegant Data Visualization
    Seung Hyun Min, Jiawei Zhou · 2021 · Frontiers in Genetics
27. Archetype tasks link intratumoral heterogeneity to plasticity and cancer hallmarks in small cell lung cancer
    Sarah M. Groves, Geena V. Ildefonso, Caitlin O. McAtee, Patricia Midori Murobushi Ozawa, Abbie S. Ireland, Philip E. Stauffer, Perry T. Wasdin, Xiaomeng Huang, Yi Qiao, Jing Shan Lim et al. · 2022 · Cell Systems
28. Ringdown of GW190521: Hints of multiple quasinormal modes with a precessional interpretation
    Harrison Siegel, M. Isi, Will Meierjurgen Farr · 2023 · Physical review. D/Physical review. D.
29. Meta-reinforcement learning via orbitofrontal cortex
    Ryoma Hattori, Nathan G. Hedrick, Anant Jain, Shuqi Chen, Hanjia You, Mariko Hattori, Jun‐Hyeok Choi, Byung Kook Lim, Ryohei Yasuda, Takaki Komiyama · 2023 · Nature Neuroscience
30. Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
    Spyridon Chavlis, Panayiota Poirazi · 2025 · Nature Communications
31. The Osmolyte Ties That Bind: Genomic Insights Into Synthesis and Breakdown of Organic Osmolytes in Marine Microbes
    Erin L. McParland, Harriet Alexander, Winifred M. Johnson · 2021 · Frontiers in Marine Science
32. Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses
    Keeley A. Crockett, Edwin Colyer, Luciano Gerber, Annabel Latham · 2021 · IEEE Transactions on Artificial Intelligence
33. STRIDES: automated uniform models for 30 quadruply imaged quasars
    Thomas Walter Schmidt, Tommaso Treu, Simon Birrer, Anowar J. Shajib, Cameron Lemon, Martin Millon, Dominique Sluse, Adriano Agnello, T. Anguita, Matthew W. Auger et al. · 2022 · Monthly Notices of the Royal Astronomical Society
34. Influenza A virus reassortment in mammals gives rise to genetically distinct within-host subpopulations
    Ketaki Ganti, Anish D. Bagga, Silvia Carnaccini, Lucas M. Ferreri, Ginger Geiger, C. Joaquín Cáceres, Brittany Seibert, Yonghai Li, Liping Wang, Taeyong Kwon et al. · 2022 · Nature Communications
35. Far-ultraviolet to Near-infrared Observations of SN 2023ixf: A High-energy Explosion Engulfed in Complex Circumstellar Material
    R. S. Teja, Anuradha Singh, Judhajeet Basu, G. Anupama, D. Sahu, A. Dutta, V. Swain, T. Nakaoka, U. Pathak, V. Bhalerao et al. · 2023 · Astrophysical Journal Letters
36. Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring
    Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, Filip J. R. Meysman, Steven Latré, Erik Mannens, Tim Verdonck · 2024 · Sensors
37. Phylogenomic Analysis of Secondary Metabolism in the Toxic Cyanobacterial Genera Anabaena, Dolichospermum and Aphanizomenon
    Julia Österholm, Rafael Vicentini Popin, David Peter Fewer, Kaarina Sivonen · 2020 · Toxins
38. Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy
    Markus D. Foote, Philip E. Dennison, Patrick R. Sullivan, Kelly O’Neill, Andrew K. Thorpe, David Ray Thompson, Daniel Cusworth, Riley Duren, Sarang C. Joshi · 2021 · Remote Sensing of Environment
39. Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections
    Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Amit Kumar Singh, Sonal Saxena · 2021 · IEEE Journal of Biomedical and Health Informatics
40. Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
    Warren Freeborough, Terence L. van Zyl · 2022 · Applied Sciences
41. Accelerating astronomical and cosmological inference with preconditioned Monte Carlo
    Minas Karamanis, Florian Beutler, John A. Peacock, David Nabergoj, Uroš Seljak · 2022 · Monthly Notices of the Royal Astronomical Society
42. Quantification of the antagonistic and synergistic effects of Pb2+, Cu2+, and Zn2+ bioaccumulation by living Bacillus subtilis biomass using XGBoost and SHAP
    Sheng Wang, Ying Zhou, Xinxin You, Bing Wang, Linna Du · 2022 · Journal of Hazardous Materials
43. Single-nucleoid architecture reveals heterogeneous packaging of mitochondrial DNA
    R. Stefan Isaac, Thomas W. Tullius, Katja G. Hansen, Danilo Dubocanin, Mary Couvillion, Andrew B. Stergachis, L. Stirling Churchman · 2024 · Nature Structural & Molecular Biology
44. Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification
    Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi · 2024 · Diagnostics
45. A travelling-wave strategy for plant–fungal trade
    Loreto Oyarte Gálvez, Corentin Bisot, Philippe Bourrianne, Rachael I.M. Cargill, Malin Klein, Marije van Son, Jaap van Krugten, Victor Emanoel Armini Caldas, Thomas Clerc, Kai-Kai Lin et al. · 2025 · Nature
46. Future operation of hydropower in Europe under high renewable penetration and climate change
    Ebbe Kyhl Gøtske, Marta Victoria · 2021 · iScience
47. Prediction compressive strength of cement-based mortar containing metakaolin using explainable Categorical Gradient Boosting model
    Ngoc-Hien Nguyen, Tống Tôn Kiên, Seunghye Lee, Armağan Karamanlı, Thuc Phuong Vo · 2022 · Engineering Structures
48. Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
    Philippe Auguste Robert, Rahmad Akbar, Robert Frank, Milena Pavlović, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina et al. · 2022 · Nature Computational Science
49. Centromeres as universal hotspots of DNA breakage, driving RAD51-mediated recombination during quiescence
    Xanita Saayman, Emily Graham, William J. Nathan, André Nussenzweig, Fumiko Esashi · 2023 · Molecular Cell
50. Brain tumour detection using machine and deep learning: a systematic review
    Novsheena Rasool, Javaid Iqbal Bhat · 2024 · Multimedia Tools and Applications
51. Increasing large wildfires over the western United States linked to diminishing sea ice in the Arctic
    Yufei Zou, Philip John Rasch, Hailong Wang, Zuowei Xie, Rudong Zhang · 2021 · Nature Communications
52. Predicting next hour fine particulate matter (PM2.5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy
    Beytullah Eren, İpek Aksangür, Caner Erden · 2023 · Urban Climate
53. PyComplexHeatmap: A Python package to visualize multimodal genomics data
    Wubin Ding, David Goldberg, Wanding Zhou · 2023 · iMeta
54. A vast pool of lineage-specific microproteins encoded by long non-coding RNAs in plants
    Igor A. Fesenko, Svetlana A. Shabalina, Anna S. Mamaeva, Andrey Knyazev, Anna Glushkevich, Irina Lyapina, Rustam Ziganshin, Sergey I. Kovalchuk, Daria D. Kharlampieva, В. Н. Лазарев et al. · 2021 · Nucleic Acids Research
55. Heterogeneity of human anti-viral immunity shaped by virus, tissue, age, and sex
    Maya M.L. Poon, Eve Byington, Wenzhao Meng, Masaru Kubota, Rei Matsumoto, Alba Grifoni, Daniela Weiskopf, Pranay Dogra, Nora Lam, Peter Anthony Szabo et al. · 2021 · Cell Reports
56. Pyleoclim: Paleoclimate Timeseries Analysis and Visualization With Python
    Deborah Khider, Julien Emile‐Geay, Feng Zhu, Alexander James, Jordan P. Landers, Varun Ratnakar, Yolanda Gil · 2022 · Paleoceanography and Paleoclimatology
57. Global and cell type-specific immunological hallmarks of severe dengue progression identified via a systems immunology approach
    Luca Ghita, Zhiyuan Yao, Yike Xie, Verónica Durán, H. Busra Cagirici, Jerome Samir, Ilham Osman, David Esteban Rebellón-Sánchez, Olga Lucía Agudelo Rojas, Ana María Sanz et al. · 2023 · Nature Immunology
58. Strainberry: automated strain separation in low-complexity metagenomes using long reads
    Riccardo Vicedomini, Christopher Quince, Aaron E. Darling, Rayan Chikhi · 2021 · Nature Communications
59. Towards Validating the Effectiveness of Obstructive Sleep Apnea Classification from Electronic Health Records Using Machine Learning
    Jayroop Ramesh, Niha Keeran, Assim A. Sagahyroon, Fadi Aloul · 2021 · Healthcare
60. Diverse and abundant phages exploit conjugative plasmids
    Natalia Quinones‐Olvera, Siân V. Owen, Lucy M. McCully, Maximillian G. Marin, Eleanor A. Rand, Alice C. Fan, Oluremi J. Martins Dosumu, Kay Paul, Cleotilde E. Sanchez Castaño, Rachel Petherbridge et al. · 2024 · Nature Communications
61. Incorporating Flexibility Effects into Metal–Organic Framework Adsorption Simulations Using Different Models
    Zhenzi Yu, Dylan M. Anstine, Salah Eddine Boulfelfel, Chenkai Gu, Coray M. Colina, David S. Sholl · 2021 · ACS Applied Materials & Interfaces
62. Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming
    Zixin Peng, Alexandre Maciel-Guerra, Michelle Baker, Xibin Zhang, Yue Hu, Wei Wang, Jia Rong, Jing Zhang, Ning Xue, Paul Barrow et al. · 2022 · PLoS Computational Biology
63. How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis
    Lingyao Li, Yujie Mao, Yu Wang, Zihui Ma · 2022 · Journal of Air Transport Management
64. A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast Cancer
    Ricky Walsh, Mickael Tardy · 2022 · Diagnostics
65. DRAM Bender: An Extensible and Versatile FPGA-Based Infrastructure to Easily Test State-of-the-Art DRAM Chips
    Ataberk Olgun, Hasan Hassan, A. Giray Yağlıkçı, Yahya Can Tuğrul, Lois Orosa, Haocong Luo, Minesh Patel, Oğuz Ergin, Onur Mutlu · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
66. Visual cognition in multimodal large language models
    Schulze Buschoff, Luca M., Akata, Elif, Bethge, Matthias, Schulz, Eric · 2025 · Nature Machine Intelligence
67. Tunicamycin Potentiates Antifungal Drug Tolerance via Aneuploidy in Candida albicans
    Yang, Feng, Gritsenko, Vladimir, Slor Futterman, Yaniv, Gao, Lu, Zhen, Cheng, Lu, Hui, Jiang, Yuan-ying, Berman, Judith · 2021 · mBio
68. Recruitment of epitope-specific T cell clones with a low-avidity threshold supports efficacy against mutational escape upon re-infection
    Adrian Straub, Simon A. Grassmann, Sebastian Jarosch, Lena Richter, Philipp Hilgendorf, Monika Hammel, Karolin I. Wagner, Veit R. Buchholz, Kilian Schober, Dirk Hans Busch · 2023 · Immunity
69. Open-Source Machine Learning in Computational Chemistry
    Alexander Hagg, Karl N. Kirschner · 2023 · Journal of Chemical Information and Modeling
70. The JWST Advanced Deep Extragalactic Survey: Discovery of an Extreme Galaxy Overdensity at z = 5.4 with JWST/NIRCam in GOODS-S
    J. Helton, F. Sun, Charity Woodrum, K. Hainline, C. Willmer, G. Rieke, M. Rieke, S. Tacchella, B. Robertson, B. Johnson et al. · 2023 · Astrophysical Journal
71. A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma
    Lisa Kinget, Stefan Naulaerts, Jannes Govaerts, Isaure Vanmeerbeek, Jenny Sprooten, Raquel Salvador Laureano, Nikolina Dubroja, Gautam Shankar, Francesca Maria Bosisio, Eduard Roussel et al. · 2024 · Nature Medicine
72. Autoinhibition of dimeric NINJ1 prevents plasma membrane rupture
    Sergei Pourmal, Melissa E. Truong, Matthew Camp Johnson, Ying Yang, Lijuan Zhou, Kamela O. Alegre, Irma B. Stowe, Shalini Gupta, Phoebe A. Chen, Yingnan Zhang et al. · 2024 · Nature
73. Microbiome mismatches from microbiota transplants lead to persistent off-target metabolic and immunomodulatory effects
    Orlando DeLeon, Mora Mocanu, Alan Tan, Ashley M. Sidebottom, Jason Koval, Hugo Dugolin Ceccato, Sarah E. Kralicek, John J Colgan, Marissa M. St. George, Joash Lake et al. · 2025 · Cell
74. Observability of evaporating lava worlds
    Mantas Zilinskas, Christiaan van Buchem, Yamila Miguel, Amy Louca, Roxana Lupu, Sebastian Zieba, Wim van Westrenen · 2022 · Astronomy and Astrophysics
75. Deciphering the origins and fates of steroidogenic lineages in the mouse testis
    Herta Ademi, Cyril Djari, Chloé Mayère, Yasmine Neirijnck, Pauline Sararols, Chris M. Rands, Isabelle Stévant, Béatrice Conne, Serge Nef · 2022 · Cell Reports
76. MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data
    Christian Ayala-Ortiz, Nathalia Graf Grachet, Viviana Freire-Zapata, Jane Fudyma, Gina Hildebrand, Roya AminiTabrizi, Cristina Howard‐Varona, Yuri Corilo, Nancy J. Hess, Melissa Beth Duhaime et al. · 2023 · Microbiome
77. Impacts of catalyst and process parameters on Ni-catalyzed methane dry reforming via interpretable machine learning
    Keerthana Vellayappan, Yifei Yue, Kang Hui Lim, Keyu Cao, Ji Yang Tan, Shuwen Cheng, Tianchang Wang, Terry Z. H. Gani, Iftekhar A. Karimi, Sibudjing Kawi · 2023 · Applied Catalysis B: Environmental
78. Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning
    Kick, Daniel R, Wallace, Jason G, Schnable, James C, Kolkman, Judith M, Alaca, Barış, Beissinger, Timothy M, Edwards, Jode, Ertl, David, Flint-Garcia, Sherry, Gage, Joseph L et al. · 2023 · G3: Genes|Genomes|Genetics
79. Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms
    Nicole Pearcy, Yue Hu, Michelle Baker, Alexandre Maciel-Guerra, Ning Xue, Wei Wang, Jasmeet Kaler, Zixin Peng, Fengqin Li, Tania Dottorini · 2021 · mSystems
80. Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information
    James Heather, Matthew J. Spindler, Marta Herrero Alonso, Yifang Shui, David G. Millar, David S. Johnson, Mark Cobbold, Aaron N. Hata · 2022 · Nucleic Acids Research
81. Assessment of portal hypertension severity using machine learning models in patients with compensated cirrhosis
    Jiří Reiniš, Oleksandr Petrenko, Benedikt Simbrunner, Benedikt Hofer, Filippo Schepis, Marco Scoppettuolo, Dario Saltini, Federica Indulti, Tomas Guasconi, Agustı́n Albillos et al. · 2022 · Journal of Hepatology
82. Prevotella copri and microbiota members mediate the beneficial effects of a therapeutic food for malnutrition
    Hao-Wei Chang, Evan M. Lee, Yi Wang, Cyrus Zhou, Kali M. Pruss, Suzanne Henrissat, Robert Yuzen Chen, C.-Y. Kao, Matthew C. Hibberd, Hannah M. Lynn et al. · 2024 · Nature Microbiology
83. Seasonal updraft speeds change cloud droplet number concentrations in low-level clouds over the western North Atlantic
    Simon Kirschler, Christiane Voigt, B. E. Anderson, Ramon Campos Braga, Gao Chen, Andrea F. Corral, Ewan Crosbie, Hossein Dadashazar, R. A. Ferrare, Valerian Hahn et al. · 2022 · Atmospheric chemistry and physics
84. Persistent activity in human parietal cortex mediates perceptual choice repetition bias
    Anne E Urai, Tobias H. Donner · 2022 · Nature Communications
85. 5-MeO-DMT modifies innate behaviors and promotes structural neural plasticity in mice
    Sarah J. Jefferson, Ian Gregg, Mark Dibbs, Clara Liao, Hao Wu, Pasha A. Davoudian, Samuel C. Woodburn, Patrick H. Wehrle, Jeffrey S. Sprouse, Alexander M. Sherwood et al. · 2023 · Neuropsychopharmacology
86. Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows
    Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen · 2023 · Applied Energy
87. Discovery of potent inhibitors of α-synuclein aggregation using structure-based iterative learning
    Robert I. Horne, Ewa A. Andrzejewska, Parvez Alam, Zacharias Faidon Brotzakis, Ankit Srivastava, Alice Aubert, Magdalena Nowinska, Rebecca C. Gregory, Roxine Staats, Andrea Possenti et al. · 2024 · Nature Chemical Biology
88. Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer
    Karolina Punovuori, Fabien Bertillot, Yekaterina A. Miroshnikova, Madelaine Binner, Satu-Marja Myllymäki, Gautier Follain, Kai Kruse, Johannes Routila, Teemu Huusko, Teijo S. Pellinen et al. · 2024 · Cell
89. Genome dependent Cas9/gRNA search time underlies sequence dependent gRNA activity
    Eirik A. Moreb, Michael Lynch · 2021 · Nature Communications
90. Assessment of water policies contributions for sustainable water resources management under climate change scenarios
    Amanda Carneiro Marques, Carlos Eduardo Veras, Daniel Andrés Rodríguez · 2022 · Journal of Hydrology
91. Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning
    Cooper Mellema, Kevin P. Nguyen, Alex Treacher, Albert Montillo · 2022 · Scientific Reports
92. Long-term learning transforms prefrontal cortex representations during working memory
    Jacob A. Miller, Arielle Tambini, Anastasia Kiyonaga, Mark D’Esposito · 2022 · Neuron
93. Detecting macroevolutionary genotype–phenotype associations using error-corrected rates of protein convergence
    Fukushima, Kenji, Pollock, David D. · 2023 · Nature Ecology & Evolution
94. Delamination identification in sandwich composite structures using machine learning techniques
    Ian Dias Viotti, Guilherme Ferreira Gomes · 2023 · Computers & Structures
95. Academic Teaching Quality Framework and Performance Evaluation Using Machine Learning
    Ahmad Almufarreh, Khaled Mohammed Noaman, Muhammad Noman Saeed · 2023 · Applied Sciences
96. Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
    Irfete Sh. Fetahu, Wolfgang Esser‐Skala, Rohit Dnyansagar, Samuel Sindelar, Fikret Rifatbegovic, Andrea Bileck, Lukas Skos, Eva Bozsaky, Daria Lazic, Lisa Ellen Shaw et al. · 2023 · Nature Communications
97. Porous corn starch granules as effective host matrices for encapsulation and sustained release of curcumin and resveratrol
    Maryam Wahab, Srinivas Janaswamy · 2024 · Carbohydrate Polymers
98. CD4+ CAR T-cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR T-cell therapy
    Guy Ledergor, Zenghua Fan, Kaichun Wu, Elizabeth E. McCarthy, Axel Hyrenius Wittsten, Alec Starzinski, Hewitt Chang, Mark Bridge, Serena S. Kwek, Alexander Cheung et al. · 2024 · Blood Advances
99. Unravelling the Asphericities in the Explosion and Multifaceted Circumstellar Matter of SN 2023ixf
    Avinash Singh, Rishabh Singh Teja, Takashi J. Moriya, Keiichi Maeda, Koji S. Kawabata, Masaomi Tanaka, Ryo Imazawa, Tatsuya Nakaoka, Anjasha Gangopadhyay, Masayuki Yamanaka et al. · 2024 · The Astrophysical Journal
100. Deep profiling deconstructs features associated with memory CD8+ T cell tissue residence
     Milcah C. Scott, Zoë Steier, Mark J. Pierson, James Michael Stolley, Stephen D. O’Flanagan, Andrew G. Soerens, Sathi Wijeyesinghe, Lalit K. Beura, Gayathri Dileepan, Brandon J. Burbach et al. · 2024 · Immunity