349 results on '"Paulson, Joseph N."'
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2. Author Correction: Transcriptomic profiles and 5-year results from the randomized CLL14 study of venetoclax plus obinutuzumab versus chlorambucil plus obinutuzumab in chronic lymphocytic leukemia
3. Transcriptional immunogenomic analysis reveals distinct immunological clusters in paediatric nervous system tumours
4. The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
5. Transcriptomic profiles and 5-year results from the randomized CLL14 study of venetoclax plus obinutuzumab versus chlorambucil plus obinutuzumab in chronic lymphocytic leukemia
6. Multimodal immunogenomic biomarker analysis of tumors from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
7. Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda: an observational case-control study
8. A tumor volume and performance status model to predict outcome before treatment in diffuse large B-cell lymphoma
9. Cytomegalovirus infections in infants in Uganda: Newborn-mother pairs, neonates with sepsis, and infants with hydrocephalus
10. Disentangling the genetic basis of rhizosphere microbiome assembly in tomato
11. mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis
12. Prognostic mutational subtyping in de novo diffuse large B-cell lymphoma
13. Differential richness inference for 16S rRNA marker gene surveys
14. AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
15. Risk profiling of patients with relapsed/refractory diffuse large B-cell lymphoma by measuring circulating tumor DNA
16. Polatuzumab vedotin plus obinutuzumab and lenalidomide in patients with relapsed or refractory follicular lymphoma: a cohort of a multicentre, single-arm, phase 1b/2 study
17. Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection
18. Prediction of Benefit From Adjuvant Pertuzumab by 80-Gene Signature in the APHINITY (BIG 4-11) Trial
19. Vaginal microbiome topic modeling of laboring Ugandan women with and without fever
20. A reference map of the human binary protein interactome
21. TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma
22. mbQTL: An R/Bioconductor Package for Microbial Quantitative Trait Loci (QTL) Estimation
23. Histopathological Image QTL Discovery of Immune Infiltration Variants
24. Meta-analysis of the lung microbiota in pulmonary tuberculosis
25. Exploring regulation in tissues with eQTL networks
26. Neonatal Paenibacilliosis: Paenibacillus Infection as a Novel Cause of Sepsis in Term Neonates With High Risk of Sequelae in Uganda
27. Neonatal Paenibacilliosis: Paenibacillus infection as a Novel Cause of Sepsis in Term Neonates with High Risk of Sequelae in Uganda
28. Paenibacillus spp infection among infants with postinfectious hydrocephalus in Uganda:an observational case-control study
29. Type IV Pili Are a Critical Virulence Factor in Clinical Isolates of Paenibacillus thiaminolyticus
30. Neonatal Paenibacilliosis:Paenibacillus thiaminolyticusas a Novel Cause of Neonatal Sepsis with High Risk of Sequelae in Uganda
31. Transcriptional immunogenomic analysis reveals distinct immunological clusters in pediatric nervous system tumours
32. GameRank: R package for feature selection and construction
33. Outcomes by BCL2 and MYC expression and rearrangements in untreated diffuse large B-cell lymphoma (DLBCL) from the POLARIX trial.
34. IMMU-04. Transcriptional analysis reveals distinct microenvironmental subgroups across pediatric nervous system tumors
35. The Network Zoo: a multilingual package for the inference and analysis of biological networks
36. Disentangling the genetic basis of rhizosphere microbiome assembly in tomato
37. Cytomegalovirus Infections in Ugandan Infants:Newborn-Mother Pairs, Neonates with Sepsis, and Infants with Hydrocephalus
38. Microbiota that affect risk for shigellosis in children in low-income countries
39. Patient‐reported outcomes provide prognostic information for survival in patients with diffuse large B‐cell lymphoma: Analysis of 1239 patients from the GOYA study
40. Additional file 5 of mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis
41. Additional file 3 of Differential richness inference for 16S rRNA marker gene surveys
42. Additional file 3 of mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis
43. Additional file 4 of mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis
44. Additional file 2 of mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis
45. Additional file 4 of Differential richness inference for 16S rRNA marker gene surveys
46. Additional file 1 of AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
47. Additional file 1 of Prognostic mutational subtyping in de novo diffuse large B-cell lymphoma
48. Additional file 3 of AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite
49. Additional file 7 of Differential richness inference for 16S rRNA marker gene surveys
50. Additional file 1 of Differential richness inference for 16S rRNA marker gene surveys
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