1. V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation

    This article has 19 authors:
    1. Lara Fuhrmann
    2. Kim Philipp Jablonski
    3. Ivan Topolsky
    4. Aashil A Batavia
    5. Nico Borgsmüller
    6. Pelin Icer Baykal
    7. Matteo Carrara
    8. Chaoran Chen
    9. Arthur Dondi
    10. Monica Dragan
    11. David Dreifuss
    12. Anika John
    13. Benjamin Langer
    14. Michal Okoniewski
    15. Louis du Plessis
    16. Uwe Schmitt
    17. Franziska Singer
    18. Tanja Stadler
    19. Niko Beerenwinkel

    Reviewed by GigaScience

    This article has 2 evaluationsAppears in 1 listLatest version Latest activity
  2. Network-based anomaly detection algorithm reveals proteins with major roles in human tissues

    This article has 4 authors:
    1. Dima Kagan
    2. Juman Jubran
    3. Esti Yeger-Lotem
    4. Michael Fire

    Reviewed by GigaScience

    This article has 2 evaluationsAppears in 1 listLatest version Latest activity
  3. Steamboat: Attention-based multiscale delineation of cellular interactions in tissues

    This article has 4 authors:
    1. Shaoheng Liang
    2. Junjie Tang
    3. Guanghan Wang
    4. Jian Ma

    Reviewed by preLights

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  4. Unsupervised Representation Learning of C. elegans Poses and Behavior Sequences From Microscope Video Recordings

    This article has 2 authors:
    1. Maurice Deserno
    2. Katarzyna Bozek
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based approaches that rely on often error-prone tracking. This novel approach holds promise for advancing ethology research. That said, the strength of evidence is currently incomplete, as key aspects - including measuring head-tail orientation, increased behavioral interpretability, and quantitative comparisons to established methods - are underdeveloped and would benefit from further validation.

    Reviewed by eLife

    This article has 5 evaluationsAppears in 1 listLatest version Latest activity
  5. Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra

    This article has 17 authors:
    1. Namrata Bhattacharya
    2. Anja Rockstroh
    3. Sanket Suhas Deshpande
    4. Sam Koshy Thomas
    5. Anunay Yadav
    6. Chitrita Goswami
    7. Smriti Chawla
    8. Pierre Solomon
    9. Cynthia Fourgeux
    10. Gaurav Ahuja
    11. Brett Hollier
    12. Himanshu Kumar
    13. Antoine Roquilly
    14. Jeremie Poschmann
    15. Melanie Lehman
    16. Colleen C Nelson
    17. Debarka Sengupta
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This manuscript presents an important contribution to the field of single-cell transcriptomic analysis in cancer by introducing a novel computational framework-SCellBOW-which applies embedding techniques from natural language processing to model phenotypic heterogeneity in tumors. The revised version includes new validation experiments and significant clarifications that provide convincing evidence for the method's utility. The authors have benchmarked SCellBOW across diverse datasets, including glioblastoma, breast, and metastatic prostate cancer, and have demonstrated its superior performance compared to existing state-of-the-art methods.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  6. Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell Validation

    This article has 12 authors:
    1. Yanbin Wang
    2. Yuqi Wu
    3. Hong Zhang
    4. Xinyue Liu
    5. Jing Ling
    6. Xiao Zhou
    7. Anping Song
    8. Li Sun
    9. Hong Qiu
    10. Xianglin Yuan
    11. Hua Xiong
    12. Yanmei Zou
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important revised manuscript presents compelling findings by delineating two molecularly distinct liver cancer subtypes through comprehensive multi-omics integration and constructing a rigorously validated prognostic model. The authors have strengthened the analytical framework and validation across multiple datasets, including single-cell RNA sequencing. The evidence remains robust, with enhanced methodological clarity and expanded validation in both internal and independent cohorts. The revisions have improved the study's rigor and translational relevance.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  7. Machine learning ensemble identifies distinct age-related response to spaceflight in mammary tissue

    This article has 13 authors:
    1. James A. Casaletto
    2. Tyler Zhao
    3. Jay Yeung
    4. Amaan Ansari
    5. Ayush Raj
    6. Arnav Mishra
    7. Amber Fry
    8. Kathryn Sun
    9. Sofia Lendahl
    10. Willy Guan
    11. Abigail Lee
    12. Lauren M. Sanders
    13. Sylvain V. Costes

    Reviewed by PREreview

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  8. Hidden GPCR structural transitions addressed by multiple walker supervised molecular dynamics (mwSuMD)

    This article has 8 authors:
    1. Giuseppe Deganutti
    2. Ludovico Pipito
    3. Roxana Maria Rujan
    4. Tal Weizmann
    5. Peter Griffin
    6. Antonella Ciancetta
    7. Stefano Moro
    8. Christopher Arthur Reynolds
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study describes an improved adaptive sampling approach, multiple-walker Supervised Molecular Dynamics (mwSuMD), and its application to G protein-coupled receptors (GPCRs), which are the most abundant membrane proteins and key targets for drug discovery. The manuscript provides solid evidence that the mwSuMD approach can assist in the sampling of complex binding processes, leading to useful findings for GPCR activity, including resolution of interactions not seen experimentally. The method has the potential to have broad applicability in structural biology and pharmacology.

    Reviewed by eLife

    This article has 14 evaluationsAppears in 1 listLatest version Latest activity
  9. Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing

    This article has 2 authors:
    1. Masaaki Uematsu
    2. Jeremy M Baskin
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study provides an important computational tool for analyzing and deconvoluting a pool of plasmids sequenced without barcoding using nanopore long-read sequencing. The tool, which has been convincingly validated, is readily available to scientists interested in rapid and cost-effective verification of plasmid sequences as well as in scaling up analysis by pooling samples within barcodes.

    Reviewed by eLife

    This article has 7 evaluationsAppears in 1 listLatest version Latest activity
  10. Healthy microbiome—moving towards functional interpretation

    This article has 5 authors:
    1. Kinga Zielińska
    2. Klas I Udekwu
    3. Witold Rudnicki
    4. Alina Frolova
    5. Paweł P Łabaj

    Reviewed by GigaScience

    This article has 2 evaluationsAppears in 1 listLatest version Latest activity
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