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Your search keyword '"Bhalla, Sherry"' showing total 45 results

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45 results on '"Bhalla, Sherry"'

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1. A Three-Gene Signature Predicts Response to Selinexor in Multiple Myeloma.

2. Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications.

3. Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

4. Artificial Intelligence for Precision Oncology

8. Data from A Critical Role for Fas-Mediated Off-Target Tumor Killing in T-cell Immunotherapy

9. Supplementary Table S1 from A Critical Role for Fas-Mediated Off-Target Tumor Killing in T-cell Immunotherapy

10. Supplementary Figures from A Critical Role for Fas-Mediated Off-Target Tumor Killing in T-cell Immunotherapy

14. A Three-Gene Signature Predicts Response to Selinexor in Multiple Myeloma

15. Lessons learned in virulence factor identification and data management from a hackathon on microbial virulence

16. Transcriptomic Correlates of Response to Selinexor in Multiple Myeloma Reveal a Predictive Signature

17. A Critical Role for Fas-Mediated Off-Target Tumor Killing in T-cell Immunotherapy

18. 90 Potentiation of T-cell mediated tumor killing via modulation of the fas/fasL pathway

19. Patient Similarity Network of Newly Diagnosed Multiple Myeloma Identifies Patient Sub-groups with Distinct Genetic Features and Clinical Implications

25. A Machine Learning Approach Identifies a 30-Gene Model That Predicts Sensitivity to Selinexor in Multiple Myeloma

26. GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology

39. Multimodal Single-Cell Transcriptomic and Proteomic Correlatives of Patients Outcomes Following Anti-BCMA Cellular Therapy with Ciltacabtagene Autoleucel (Cilta-cel) in Relapsed Multiple Myeloma

41. SATPdb: a database of structurally annotated therapeutic peptides

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