Bioinformatics

  1. RWRtoolkit: multi-omic network analysis using random walks on multiplex networks in any species

    1. David Kainer
    2. Matthew Lane
    3. Kyle A Sullivan
    4. J Izaak Miller
    5. Mikaela Cashman
    6. Mallory Morgan
    7. Ashley Cliff
    8. Jonathon Romero
    9. Angelica Walker
    10. D Dakota Blair
    11. Hari Chhetri
    12. Yongqin Wang
    13. Mirko Pavicic
    14. Anna Furches
    15. Jaclyn Noshay
    16. Meghan Drake
    17. A J Ireland
    18. Ali Missaoui
    19. Yun Kang
    20. John C Sedbrook
    21. Paramvir Dehal
    22. Shane Canon
    23. Daniel Jacobson

    Reviewed by GigaScience

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Defining the limits of plant chemical space: challenges and estimations

    1. Chloe Engler Hart
    2. Yojana Gadiya
    3. Tobias Kind
    4. Christoph A. Krettler
    5. Matthew Gaetz
    6. Biswapriya B. Misra
    7. David Healey
    8. August Allen
    9. Viswa Colluru
    10. Daniel Domingo-Fernández

    Reviewed by GigaScience

    2 evaluationsAppears in 1 listLatest version Latest activity

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

    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

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Network-based anomaly detection algorithm reveals proteins with major roles in human tissues

    1. Dima Kagan
    2. Juman Jubran
    3. Esti Yeger-Lotem
    4. Michael Fire

    Reviewed by GigaScience

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Steamboat: Attention-based multiscale delineation of cellular interactions in tissues

    1. Shaoheng Liang
    2. Junjie Tang
    3. Guanghan Wang
    4. Jian Ma

    Reviewed by preLights

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell Validation

    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

    • 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

    7 evaluationsAppears in 1 listLatest version Latest activity

  8. Machine Learning Ensemble Reveals Age-Specific Responses of Murine Mammary Tissue to Spaceflight With Relevance to Breast Cancer: An Observational Study

    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

    1 evaluationAppears in 1 listLatest version Latest activity
Previous Page 14 of 132 Next