Titlebook: Molecular Aspects of Hematologic Malignancies; Diagnostic Tools and Michal Witt,Malgorzata Dawidowska,Tomasz Szczepans Book 2012 Springer-V

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1866-914X nterest to clinical oncologists and hematologists as well as.This book provides a state-of-the-art approach to the molecular basis of hematologic diseases and its translation into improved diagnostics and novel therapeutic strategies. Several representative hemato-oncologic malignancies are analyzed

混合,攙雜

Book 2012 therapeutic strategies. Several representative hemato-oncologic malignancies are analyzed in detail: acute lymphoblastic leukemia, acute myeloid leukemia, B-cell Non-Hodgkin lymphomas, multiple myeloma, chronic lymphocytic leukemia, chronic myeloid leukemia, myelodysplastic syndromes, and myeloprol

饑荒

Book 2012 transplantation, donor recipient matching, banking of biological material, analyses of post-transplant chimerism, and minimal residual disease monitoring. The volume concludes with an extensive section comprising thorough step-by-step protocols of molecular techniques in hematology, all of them validated in the authors’ own laboratories..

ULCER

Principles and Practicehttp://image.papertrans.cn/m/image/638004.jpg

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https://doi.org/10.1007/978-3-642-29467-9hematology; leukemia; minimal residual disease; molecular biology; oncology; stem cell transplantation

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Molecular Aspects of Hematologic Malignancies978-3-642-29467-9Series ISSN 1866-914X Series E-ISSN 1866-9158

Mucosa

Michal Witt,Malgorzata Dawidowska,Tomasz SzczepansUp-to-date information on the molecular basis of selected hematologic disorders.Practical reference for molecular laboratory procedures.Of interest to clinical oncologists and hematologists as well as

ingrate

Approximate Range Searching: The Absolute Modelpproximation parameter .>?0 is provided. Most prior work on this problem has focused on the case of relative errors, where each range shape . is bounded, and points within distance . of the range’s boundary may or may not be included. We consider a different approximation model, called the ., in whi