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Titlebook: New Approaches in Cancer Pharmacology: Drug Design and Development; Paul Workman (Chairman and Editor) Conference proceedings 1992 Springe

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31#
發(fā)表于 2025-3-26 21:32:12 | 只看該作者
Prospects for Biological and Gene Therapies,cancer therapy aims to bring about the selective destruction of the tumour, leaving as much as possible of normal tissue intact. The fundamental stumbling block of surgery and radiotherapy is the problem of tumour invasion and spread outside areas directly accessible to these modalities of treatment
32#
發(fā)表于 2025-3-27 04:29:19 | 只看該作者
Membrane and Signal Transduction Targets, present a formidable challenge to drug discovery teams. How can this knowledge be harnessed and the approach emulated? Sadly, the elegance and precision of some of the insights provided by molecular and cellular biologists have not yet been matched by the efforts of medicinal chemists and pharmacol
33#
發(fā)表于 2025-3-27 07:09:50 | 只看該作者
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發(fā)表于 2025-3-27 13:09:48 | 只看該作者
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發(fā)表于 2025-3-27 14:36:07 | 只看該作者
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發(fā)表于 2025-3-27 21:06:45 | 只看該作者
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發(fā)表于 2025-3-27 22:18:32 | 只看該作者
Paul Workmangorous mathematical treatment of this subject with over 500 .Statistical Analysis and Optimization For VLSI: Timing and Power is a state-of-the-art book on the newly emerging field of statistical computer-aided design (CAD) tools. The very latest research in statistical timing and power analysis tec
38#
發(fā)表于 2025-3-28 05:34:08 | 只看該作者
39#
發(fā)表于 2025-3-28 06:36:11 | 只看該作者
Claude Hélèneion and prediction in genomics. Preselection—to start with a manageable set of covariates—is becoming increasingly necessary for enabling advanced analysis tasks to be carried out on data sets of huge size created by high throughput technologies. Preselection of features to be included in multivaria
40#
發(fā)表于 2025-3-28 12:02:07 | 只看該作者
Karol Sikora,Andres Guiterrezposttranslational modified forms, in a small clinical sample. Data normalization is fundamental for this technology, to correct for the sample-to-sample variability in the many possible confounding factors: extracellular proteins, red blood cells, different number of cells in the sample. To address
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