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Inference by Eye: Confidence Intervals and How to Read Pictures of Data.

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Distributed representation of context by intrinsic subnetworks in prefrontal cortex

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Inpatient Communication Networks: Leveraging Secure Text-Messaging Platforms to Gain Insight into Inpatient Communication Systems

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TESS Data for Asteroseismology: Light-curve Systematics Correction

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Multi-window sparse spectral sampling stimulated Raman scattering microscopy

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Climate change favours connectivity between virus-bearing pest and rice cultivations in sub-Saharan Africa, depressing local economies

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Theory-guided machine learning to predict density evolution of sand dynamically compacted under Ko condition

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Genotype-specific features reduce the susceptibility of South American yellow fever virus strains to vaccine-induced antibodies

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Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation

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Impact of copula model selection on reliability-based design optimization of a rubble mound breakwater

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METAL: The Metal Evolution, Transport, and Abundance in the Large Magellanic Cloud Hubble Program. IV. Calibration of Dust Depletions versus Abundance Ratios in the Milky Way and Magellanic Clouds and Application to Damped Lyα Systems

Roman-Duval, J. C., Jenkins, E. B., Tchernyshyov, K., Clark, C. J. R., De, A., Gordon, K. D., Hamanowicz, A., Lebouteiller, V., Rafelski, M. A., Sandstrom, K. M., et al. (2022) · The Astrophysical Journal · doi:10.3847/1538-4357/ac7713 · Cited by 25

Can deep convolutional neural networks support relational reasoning in the same-different task?

Puebla, G., & Bowers, J. S. (2022) · Journal of Vision · doi:10.1167/jov.22.10.11 · Cited by 27

Exploring Gut Microbiome in Predicting the Efficacy of Immunotherapy in Non-Small Cell Lung Cancer

Liu, B., Chau, J., Dai, Q., Zhong, C., & Zhang, J. (2022) · Cancers · doi:10.3390/cancers14215401 · Cited by 29

Surface texture analysis in Toothfrax and MountainsMap® SSFA module: Different software packages, different results?

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Influence of language on perception and concept formation in a brain-constrained deep neural network model

Henningsen‐Schomers, M. R., Garagnani, M., & Friedemann Pulvermüller, A. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0373 · Cited by 28

Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy

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Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables novel applications

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Data-driven prediction of critical flutter velocity of long-span suspension bridges using a probabilistic machine learning approach

Tinmitondé, S., He, X., Yan, L., & Hounye, A. H. (2023) · Computers & Structures · doi:10.1016/j.compstruc.2023.107002 · Cited by 25

MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization via an Ensemble Strategy

He, S., Ye, X., Sakurai, T., & Zou, Q. (2023) · Journal of Molecular Biology · doi:10.1016/j.jmb.2023.168116 · Cited by 25

Extensive diversity in RNA termination and regulation revealed by transcriptome mapping for the Lyme pathogen Borrelia burgdorferi

Petroni, E., Esnault, C., Tetreault, D. D., Dale, R., Storz, G., & Adams, P. P. (2023) · Nature Communications · doi:10.1038/s41467-023-39576-1 · Cited by 26

Identifying important microbial and genomic biomarkers for differentiating right- versus left-sided colorectal cancer using random forest models

Kolisnik, T., Sulit, A. K., Schmeier, S., Frizelle, F., Purcell, R. V., Smith, A. N. H., & Silander, O. (2023) · BMC Cancer · doi:10.1186/s12885-023-10848-9 · Cited by 23

UV-optical Emission of AB Aur b Is Consistent with Scattered Stellar Light

Zhou, Y., Bowler, B. P., Yang, H., Sanghi, A., Herczeg, G. J., Kraus, A. L., Bae, J., Long, F., Follette, K. B., Ward-Duong, K., et al. (2023) · The Astronomical Journal · doi:10.3847/1538-3881/acf9ec · Cited by 25

Integron cassettes integrate into bacterial genomes via widespread non-classical attG sites

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Sensor deployment configurations for building energy consumption prediction

Bucarelli, N., & El-Gohary, N. (2024) · Energy and Buildings · doi:10.1016/j.enbuild.2024.113888 · Cited by 25

The evolutionarily conserved choroid plexus contributes to the homeostasis of brain ventricles in zebrafish

Jeong, I., Andreassen, S. N., Hoang, L., Poulain, M., Seo, Y., Park, H., Fürthauer, M., MacAulay, N., & Jurisch‐Yaksi, N. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114331 · Cited by 25

Genome-wide variability in recombination activity is associated with meiotic chromatin organizationPreprint

Jin, X., Fudenberg, G., & Pollard, K. S. (2021) · Genome Research · doi:10.1101/gr.275358.121 · Cited by 25

Cytoflow: A Python Toolbox for Flow CytometryPreprint

Teague, B. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.22.501078 · Cited by 25

An analysis-ready and quality controlled resource for pediatric brain white-matter research

Richie-Halford, A., Cieslak, M., Ai, L., Caffarra, S., Covitz, S. C., Franco, A. R., Karipidis, I. I., Kruper, J., Milham, M. P., Avelar‐Pereira, B., et al. (2022) · Scientific Data · doi:10.1038/s41597-022-01695-7 · Cited by 32

A single-molecule nanopore sequencing platformPreprint

Zhang, J., Zhang, Y., Wang, L., Guo, F., Yun, Q., Zeng, T., Xu, Y., Yu, L., Cheng, L., Wu, W., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.19.608720 · Cited by 24

Integrating Phylogenetics With Intron Positions Illuminates the Origin of the Complex Spliceosome

Vosseberg, J., Stolker, D., von der Dunk, S. H. A., & Snel, B. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad011 · Cited by 24

The Histone H1-Like Protein AlgP Facilitates Even Spacing of Polyphosphate Granules in Pseudomonas aeruginosa

Chawla, R., Klupt, S., Patsalo, V., Williamson, J. R., & Racki, L. R. (2022) · mBio · doi:10.1128/mbio.02463-21 · Cited by 23

Machine-Learning-Assisted Design of Multiband Terahertz Metamaterial Absorber

Soni, M., & Misra, S. (2023) · ACS Applied Optical Materials · doi:10.1021/acsaom.3c00246 · Cited by 24

Magnetic seizure therapy and electroconvulsive therapy increase aperiodic activity

Smith, S. E., Kosik, E. L., van Engen, Q., Kohn, J. N., Hill, A. T., Zomorrodi, R., Blumberger, D. M., Daskalakis, Z. J., Hadas, I., & Voytek, B. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02631-y · Cited by 24

High monoclonal neutralization titers reduced breakthrough HIV-1 viral loads in the Antibody Mediated Prevention trials

Reeves, D. B., Mayer, B. T., deCamp, A. C., Huang, Y., Zhang, B., Carpp, L. N., Magaret, C. A., Juraska, M., Gilbert, P. B., Montefiori, D. C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43384-y · Cited by 25

Cover crop cultivars and species differ in root traits potentially impacting their selection for ecosystem services

Wong, K. M., Griffiths, M., Moran, A., Johnston, A., Liu, A. E., Sellers, M. A., & Topp, C. N. (2023) · Plant and Soil · doi:10.1007/s11104-023-06431-7 · Cited by 25

Cystine/glutamate antiporter xCT controls skeletal muscle glutathione redox, bioenergetics and differentiation

Kanaan, M. N., Pileggi, C. A., Karam, C. Y., Kennedy, L. S., Fong-McMaster, C., Čuperlović‐Culf, M., & Harper, M. (2024) · Redox Biology · doi:10.1016/j.redox.2024.103213 · Cited by 26

De novo design of buttressed loops for sculpting protein functions

Jiang, H., Jude, K. M., Wu, K., Fallas, J. A., Ueda, G., Brunette, T., Hicks, D. R., Pyles, H., Yang, A., Carter, L. P., et al. (2024) · Nature Chemical Biology · doi:10.1038/s41589-024-01632-2 · Cited by 24

Toward a Generalizable Machine-Learned Potential for Metal–Organic Frameworks

Yue, Y., Mohamed, S. A., Loh, N. D., & Jiang, J. (2024) · ACS Nano · doi:10.1021/acsnano.4c12369 · Cited by 26

Designing of Polymers for Photovoltaics Applications and Prediction of Band Gap as a Polymers Screening Criterion

Ahmad, N., Moussa, I. M., Mahmood, A., & Zou, Y. (2025) · ACS Applied Energy Materials · doi:10.1021/acsaem.4c03174 · Cited by 24

Holobiome Harmony: Linking Environmental Sustainability, Agriculture, and Human Health for a Thriving Planet and One Health

Garcı́a, G., Carlin, M. R., & Cano, R. J. (2025) · Microorganisms · doi:10.3390/microorganisms13030514 · Cited by 26

Conserved brain-wide emergence of emotional response from sensory experience in humans and mice

Kauvar, I., Richman, E. B., Liu, T. X., Li, C., Vesuna, S. S., Chibukhchyan, A., Yamada, L., Fogarty, A. S., Solomon, E. A., Choi, E. Y., et al. (2025) · Science · doi:10.1126/science.adt3971 · Cited by 28

GA-NIFS and EIGER: A merging quasar host at z = 7 with an overmassive black hole

Marshall, M. A., Yue, M., Eilers, A., Scholtz, J., Perna, M., Willott, C. J., Maiolino, R., Übler, H., Arribas, S., Bunker, A. J., et al. (2025) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202452650 · Cited by 24

Immune profiling in a living human recipient of a gene-edited pig kidney

Ribas, G. T., Cunha, A. F., Avila, J., Giarraputo, A., Morená, L., Lima, K., Gassen, R. B., Chen, J.-Y., Lin, J., Santagata, S., et al. (2026) · Nature Medicine · doi:10.1038/s41591-025-04053-3 · Cited by 27

Morphology-independent test of the mixed polarization content of transient gravitational wave signals

Chatziioannou, K., Isi, M., Haster, C. ‐., & Littenberg, T. B. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.044005 · Cited by 24

Nanoscale slip length prediction with machine learning tools

Sofos, F. D., & Karakasidis, T. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-91885-x · Cited by 24

Total Genotype Score Modelling of Polygenic Endurance-Power Profiles in Lithuanian Elite Athletes

Pranckevičienė, E., Ginevičienė, V., Jakaitienė, A., Januska, L., & Utkus, A. (2021) · Genes · doi:10.3390/genes12071067 · Cited by 29

A pathogenic DMC1 frameshift mutation causes nonobstructive azoospermia but not primary ovarian insufficiency in humans

Cao, D., Shi, F., Guo, C., Liu, Y., Lin, Z., Zhang, J., Li, R., Yao, Y., Liu, K., Ng, E. H. Y., et al. (2021) · Molecular Human Reproduction · doi:10.1093/molehr/gaab058 · Cited by 26

Latent motives guide structure learning during adaptive social choice

van Baar, J. M., Nassar, M. R., Deng, W., & FeldmanHall, O. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01207-4 · Cited by 26

Applying the Metallicity-dependent Binary Fraction to Double White Dwarf Formation: Implications for LISA

Thiele, S., Breivik, K., Sanderson, R. E., & Luger, R. (2023) · The Astrophysical Journal · doi:10.3847/1538-4357/aca7be · Cited by 24

A novel cosmic filament catalogue from SDSS data

Duque, J. C., Migliaccio, M., Marinucci, D., & Vittorio, N. (2022) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.1051/0004-6361/202141538 · Cited by 24

Bleeding Risk Assessment in End-Stage Kidney Disease: Validation of Existing Risk Scores and Evaluation of a Machine Learning-Based Approach

Nopp, S., Spielvogel, C. P., Schmaldienst, S., Klauser‐Braun, R., Lorenz, M., Bauer, B. N., Pabinger, I., Säemann, M. D., Königsbrügge, O., & Ay, C. (2022) · Thrombosis and Haemostasis · doi:10.1055/a-1754-7551 · Cited by 24

Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model

Ahmed, A. A. M., Ahmed, M. H., Saha, S. K., Ahmed, O., & Sutradhar, A. (2022) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-022-02177-3 · Cited by 26

Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars

Pavlović, D., Czerkawski, M., Davison, C., Marko, O., Michie, C., Atkinson, R. C., Crnojevic, V. S., Andonović, I., Rajovic, V. M., Kvaščev, G., et al. (2022) · Sensors · doi:10.3390/s22062323 · Cited by 24

A Text-Based Computational Framework for Patient-Specific Modeling for Classification of Cancers

Imoto, H., Yamashiro, S., & Okada, M. (2021) · iScience · doi:10.1016/j.isci.2022.103944 · Cited by 22

Upgrading a Consumer Stereolithographic 3D Printer to Produce a Physiologically Relevant Model with Human Liver Cancer Organoids

Breideband, L., Wächtershäuser, K. N., Hafa, L., Wieland, K., Frangakis, A. S., Stelzer, E. H. K., & Pampaloni, F. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200029 · Cited by 24

The Role of ZAP and TRIM25 RNA Binding in Restricting Viral Translation

Yang, E. C., Nguyen, L. P., Wisherop, C. A., Kan, R. L., & Li, M. M. H. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.886929 · Cited by 23

Moving groups across Galactocentric radius with Gaia DR3

Lucchini, S., Pellett, E., D’Onghia, E., & Aguerri, J. A. L. (2022) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stac3519 · Cited by 24

High throughput genome scale modeling predicts microbial vitamin requirements contribute to gut microbiome community structure

Ortiz, J. P. M., Read, M. N., McClure, D. D., Holmes, A. J., Dehghani, F., & Shanahan, E. R. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2118831 · Cited by 26

Structural insights into the contactin 1 – neurofascin 155 adhesion complex

Chataigner, L., Gogou, C., den Boer, M. A., Frias, C. P., Thies-Weesie, D., Granneman, J., Heck, A., Meijer, D., & Janssen, B. (2022) · Nature Communications · doi:10.1038/s41467-022-34302-9 · Cited by 21

Deep learning classification of urinary sediment crystals with optimal parameter tuning

Nagai, T., Onodera, O., & Okuda, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-25385-x · Cited by 24

The Relationship between Age, Metallicity, and Abundances for Disk Stars in a Simulated Milky Way

Carrillo, A., Ness, M., Hawkins, K., Sanderson, R. E., Wang, K., Wetzel, A. R., & Bellardini, M. A. (2023) · The Astrophysical Journal · doi:10.3847/1538-4357/aca1c7 · Cited by 24

Conservation and divergence of canonical and non-canonical imprinting in murids

Albert, J. R., Kobayashi, T., Inoue, A., Monteagudo, A., Kumamoto, S., Takashima, T., Miura, A., Oikawa, M., Miura, F., Takada, S., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02869-1 · Cited by 28

The CORALIE survey for southern extrasolar planets

Barbato, D., Ségransan, D., Udry, S., Unger, N., Bouchy, F., Lovis, C., Mayor, M., Pepe, F. A., Queloz, D. P., Santos, N. C., et al. (2023) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202345874 · Cited by 24

Molecular determinants of inhibition of UCP1-mediated respiratory uncoupling

Gagelin, A., Largeau, C., Masscheleyn, S., Piel, M. S., Calderón-Mora, D., Bouillaud, F., Hénin, J., & Miroux, B. (2023) · Nature Communications · doi:10.1038/s41467-023-38219-9 · Cited by 26

Integrative mapping of the dog epigenome: Reference annotation for comparative intertissue and cross-species studies

Son, K. H., Aldonza, M. B. D., Nam, A.-R., Lee, K.-H., Lee, J.-W., Shin, K.-J., Kang, K., & Cho, J. (2023) · Science Advances · doi:10.1126/sciadv.ade3399 · Cited by 28

A Quick Look at the 3 GHz Radio Sky. II. Hunting for DRAGNs in the VLA Sky Survey

Gordon, Y., Rudnick, L., Andernach, H., Morabito, L. K., O’Dea, C. P., Achong, K.-M., Baum, S. A., Bayona-Figueroa, C., Hooper, E. J., Mingo, B., et al. (2023) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/acda30 · Cited by 24

Protein language models can capture protein quaternary state

Avraham, O., Tsaban, T., Ben-Aharon, Z., Tsaban, L., & Schueler‐Furman, O. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05549-w · Cited by 24

Machine-guided discovery of a real-world rogue wave model

Häfner, D., Gemmrich, J. R., & Jochum, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306275120 · Cited by 24

Genomic instability analysis in DNA from Papanicolaou test provides proof-of-principle early diagnosis of high-grade serous ovarian cancer

Paracchini, L., Mannarino, L., Romualdi, C., Zadro, R., Beltrame, L., Nerini, I. F., Zola, P., Laudani, M. E., Pagano, E., Giordano, L., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adi2556 · Cited by 24

The molecular interaction pattern of lenvatinib enables inhibition of wild-type or kinase-mutated FGFR2-driven cholangiocarcinoma

Spahn, S., Kleinhenz, F., Shevchenko, E., Stahl, A., Rasen, Y., Geisler, C., Ruhm, K., Klaumuenzer, M., Kronenberger, T., Laufer, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45247-6 · Cited by 24

Methods and considerations for estimating parameters in biophysically detailed neural models with simulation based inference

Tolley, N. M., Rodrigues, P. L. C., Gramfort, A., & Jones, S. R. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011108 · Cited by 25

A Fast Radio Burst in a Compact Galaxy Group at z ∼ 1

Gordon, A. C., Fong, W., Simha, S., 董, Y. 雨. D., Kilpatrick, C. D., Deller, A. T., Ryder, S. D., Eftekhari, T., Glowacki, M., Marnoch, L., et al. (2024) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/ad2773 · Cited by 24

The NANOGrav 15 yr Data Set: Search for Transverse Polarization Modes in the Gravitational-wave Background

Agazie, G., Anumarlapudi, A., Archibald, A. M., Arzoumanian, Z., Baier, J. G., Baker, P. T., Bécsy, B., Blecha, L., Brazier, A., Brook, P. R., et al. (2024) · The Astrophysical Journal Letters · doi:10.3847/2041-8213/ad2a51 · Cited by 24

Nanoscale 3D DNA tracing in single human cells visualizes loop extrusion directly in situPreprint

Beckwith, K. S., Ødegård-Fougner, Ø., Morero, N. R., Barton, C., Schueder, F., Tang, W., Alexander, S., Peters, J., Jungmann, R., Birney, E., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.12.439407 · Cited by 24

Dataset related to article "High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis"

Cortese, N., Carriero, R., Barbagallo, M., Putignano, A. R., Costa, G., Giavazzi, F., Grizzi, F., Pasqualini, F., Peano, C., Basso, G., et al. (2023) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.10224041 · Cited by 36

Characterizing the diversity and commensal origins of penA mosaicism in the genus Neisseria

Unitt, A., Maiden, M. C. J., & Harrison, O. B. (2024) · Microbial Genomics · doi:10.1099/mgen.0.001209 · Cited by 23

Unveiling the microbial realm with VEBA 2.0: a modular bioinformatics suite for end-to-end genome-resolved prokaryotic, (micro)eukaryotic and viral multi-omics from either short- or long-read sequencing

Espinoza, J. L., Phillips, A., Prentice, M. B., Tan, G. S., Kamath, P. L., Lloyd, K. G., & Dupont, C. L. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae528 · Cited by 22

Impacts of Software Bill of Materials (SBOM) Generation on Vulnerability Detection

O’Donoghue, E., Boles, B., Izurieta, C. I., & Reinhold, A. M. (2023) · ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses (SCORED) · doi:10.1145/3689944.3696164 · Cited by 23

Temporal profiling of human lymphoid tissues reveals coordinated defense against viral challenge

Coates, M. L., Richoz, N., Tuong, Z. K., Bowyer, G., Lee, C. Y. C., Ferdinand, J. R., Gillman, E., McClure, M., Dratva, L. M., Teichmann, S. A., et al. (2025) · Nature Immunology · doi:10.1038/s41590-024-02064-9 · Cited by 26

Comparison of current methods for genome-wide DNA methylation profiling

de Abreu, A. R., Ibrahim, J., Lemonidis, V., Mateiu, L. M., Camp, G. V., & de Beeck, K. O. (2025) · Epigenetics & Chromatin · doi:10.1186/s13072-025-00616-3 · Cited by 23

A cold pool perturbation scheme to improve convective initiation in convection‐permitting models

Hirt, M., & Craig, G. C. (2021) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.4032 · Cited by 23

Essential function and targets of BMP signaling during midbrain neural crest delamination

Piacentino, M. L., Hutchins, E. J., & Bronner-Fraser, M. E. (2021) · Developmental Biology · doi:10.1016/j.ydbio.2021.06.003 · Cited by 23

Traja: A Python toolbox for animal trajectory analysis

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