Prognosticate the Drugs for Multiple Myeloma Patients by Using Gene Expression Technique With Polyclonal and Monoclonal Samples

ICTACT Journal on Image and Video Processing
doi 10.21917/ijivp.2017.0235
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ICT Academy

Related search

Classify Hyperdiploidy Status of Multiple Myeloma Patients Using Gene Expression Profiles

PLoS ONE
Multidisciplinary
2013English

FOXP1 Expression in Monoclonal Gammopathy of Undetermined Significance and Multiple Myeloma

Pathology International
MedicineForensic MedicinePathology
2009English

Differences in the Distribution of Cytogenetic Subtypes Between Multiple Myeloma Patients With and Without a Family History of Monoclonal Gammopathy and Multiple Myeloma

European Journal of Haematology
MedicineHematology
2013English

Novel Drugs for the Treatment of Multiple Myeloma

Haematologica
Hematology
2010English

Expression of the Hematopoietic Stem Cell Antigen CD34 on Blood and Bone Marrow Monoclonal Plasma Cells From Patients With Multiple Myeloma

Bone Marrow Transplantation
TransplantationHematology
1997English

Detection of Multidrug Resistance Gene Expression in Multiple Myeloma

Leukemia
Cancer ResearchOncologyAnesthesiologyPain MedicineHematology
1997English

Bayesian Robust Inference for Differential Gene Expression in cDNA Microarrays With Multiple Samples

2004English

Polyclonal Immunoglobulin Secretion in Patients With Common Variable Immunodeficiency Using Monoclonal B Cell Differentiation Factors.

Journal of Clinical Investigation
Medicine
1984English

Residual Serum Monoclonal Protein Predicts Progression-Free Survival in Patients With Previously Untreated Multiple Myeloma

Cancer
Cancer ResearchOncology
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy