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Titlebook: Leukemia and Lymphoma; Detection of Minimal Theodore F. Zipf,Dennis A. Johnston Book 2003 Springer Science+Business Media New York 2003 DNA

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樓主: Orthosis
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發(fā)表于 2025-3-25 04:19:10 | 只看該作者
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發(fā)表于 2025-3-25 09:53:31 | 只看該作者
Apostolia-Marie Tsimberidou,Yunfang Jiang,Richard J. Ford,Fernando Cabanillas,Andreas H. Sarrisf scientific information platforms, semantic clustering, ont.This book is a selection of results obtained within three years of research performed under SYNAT—a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and
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發(fā)表于 2025-3-25 14:25:57 | 只看該作者
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發(fā)表于 2025-3-25 18:22:34 | 只看該作者
Theodore F. Zipf PhD, MD,Dennis A. Johnston PhDs or nearest neighbors. In fact, the determination of nearest neighbors is typically a subtask of both clustering and classification. In this chapter, we discuss three principal approaches to efficient determination of nearest neighbors: namely, using the triangle inequality when vectors are ordered
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發(fā)表于 2025-3-25 20:04:26 | 只看該作者
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發(fā)表于 2025-3-26 06:52:01 | 只看該作者
,Flow-Cytometry—Based Studies of Minimal Residual Disease in Children with Acute Lymphoblastic Leukese. Although clinical (e.g., white blood cell count, age) and biologic (e.g., immunophenotype, ploidy, structural chromosomal abnormalities, and gene rearrangements) parameters can be used for treatment stratification, none of these prognostic factors is ideal. A proportion of patients with “good ri
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發(fā)表于 2025-3-26 11:50:37 | 只看該作者
PCR Methods for the Detection of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemiaatients, is relapse arising from outgrowth of residual leukemic cells that are refractory to therapy. ALL is a heterogeneous disease, characterized by stage of differentiation and by a spectrum of recurrent chromosomal abnormalities .. Thus, ALL is not a single entity, and uniform therapy is not ide
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發(fā)表于 2025-3-26 14:46:40 | 只看該作者
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發(fā)表于 2025-3-26 17:35:50 | 只看該作者
The Application of Minimal Residual Disease Detection Methodology to the Clinical Decision-Making Pmeasurements. This may not have been comprehensible to those investigators who do not have experience in either statistics or advanced mathematics. In this chapter, we will present a nonmathematical description of our view of the approach that will be required for minimal residual disease (MRD) meas
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