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2. STAT6 mutations enriched at diffuse large B-cell lymphoma relapse reshape the tumor microenvironment

3. Arsenic Exposure, Blood DNA Methylation, and Cardiovascular Disease

5. Detecting differentially methylated regions in bisulfite sequencing data using quasi-binomial mixed models with smooth covariate effect estimates

8. Care Coordination

9. Addressing dispersion in mis‐measured multivariate binomial outcomes: A novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data.

13. GD2 and GD3 gangliosides as diagnostic biomarkers for all stages and subtypes of epithelial ovarian cancer

14. Supplementary Table 1 from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

15. Data from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

16. Supplementary Table 5 from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

17. Supplementary Data Method and Figures from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

18. Supplementary Table 3 from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

19. Supplementary Table 2 from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

20. Supplementary Table 4 from Outcome-Related Differences in Gene Expression Profiles of High-Grade Serous Ovarian Cancers Following Neoadjuvant Chemotherapy

21. Additional file 4 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

23. Additional file 3 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

24. Additional file 2 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

25. Additional file 5 of Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data

26. Novel Insights into Systemic Sclerosis using a Sensitive Computational Method to Analyze Whole-Genome Bisulfite Sequencing Data

29. SHLD2/FAM35A co‐operates with REV7 to coordinate DNA double‐strand break repair pathway choice

30. Arsenic Exposure, Blood DNA Methylation and Cardiovascular Disease

33. Preferences for Outcomes Among Adults with Type 1 Diabetes and Caregivers of Children with Type 1 Diabetes

34. Sperm DNA methylome abnormalities occur both pre- and post-treatment in men with Hodgkin disease and testicular cancer

38. funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types

39. A model for successful use of student response systems

41. Impact of clinical and demographic characteristics on patient preferences for psoriasis treatment features: Results from a discrete-choice experiment in a multicountry study

47. A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation

48. Impact of clinical and demographic characteristics on patient preferences for psoriasis treatment features: Results from a discrete-choice experiment in a multicountry study.

49. Preferences for Outcomes Among Adults with Type 1 Diabetes and Caregivers of Children with Type 1 Diabetes

50. Letters

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