All Stories

  1. Cell type markers indicate distinct contributions of decidual stromal cells and natural killer cells in preeclampsia
  2. Histone H3K4me3 breadth in hypoxia reveals endometrial core functions and stress adaptation linked to endometriosis
  3. A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
  4. Stable Iterative Variable Selection
  5. Differential ATAC-seq and ChIP-seq peak detection using ROTS
  6. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
  7. Transcriptomic responses to hypoxia in endometrial and decidual stromal cells
  8. Easy-to-use tool for evaluating the elevated acute kidney injury risk against reduced cardiovascular disease risk during intensive blood pressure control
  9. Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease
  10. Transcriptomic responses to hypoxia in endometrial and decidual stromal cells
  11. Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota—Implementation and Computational Analysis
  12. Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology
  13. A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer
  14. A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
  15. A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
  16. A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer
  17. Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prosta...
  18. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer?
  19. Predictive survival model for metastatic castration-resistant prostate cancer
  20. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data