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Titlebook: Viruses, Genes, and Cancer; Eric Hunter,Klaus Bister Book 2017 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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發(fā)表于 2025-3-25 05:19:06 | 只看該作者
22#
發(fā)表于 2025-3-25 08:10:09 | 只看該作者
MYC and RAF: Key Effectors in Cellular Signaling and Major Drivers in Human Cancer,ion, cell growth and proliferation, differentiation, stem cell regulation, and apoptosis are under MYC control. Deregulation of . expression by rearrangement or amplification of the . locus or by defects in kinase-mediated upstream signaling, accompanied by loss of apoptotic checkpoints, leads to tu
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發(fā)表于 2025-3-25 11:47:06 | 只看該作者
Oncogenic Roles of the PI3K/AKT/mTOR Axis,as suppression of autophagy and senescence. These phenotypic changes are mediated by eIF4E-induced translation of a subset of mRNAs and by other downstream effectors of mTORC1 including S6K, HIF-1α, PGC-1α, SREBP, and ULK1 complex.
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發(fā)表于 2025-3-25 18:38:22 | 只看該作者
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發(fā)表于 2025-3-25 19:59:41 | 只看該作者
0070-217X elevant to pathogenesis and treatment. Gathering contributions written by leading scientists in their respective fields, the volume offers a valuable resource for researchers and clinicians alike..978-3-319-87167-7978-3-319-61804-3Series ISSN 0070-217X Series E-ISSN 2196-9965
26#
發(fā)表于 2025-3-26 04:03:21 | 只看該作者
ce in many aspects. The key considerations around this topic not only benefit innovation managers and entrepreneurs from China, but also those outwith China. However, the impact of the integration goes beyond enter-prise development and collaboration.
27#
發(fā)表于 2025-3-26 05:28:17 | 只看該作者
Robin A. Weissest to not only researchers in the area of MPC but also developers realizing practical applications with MPC. For a better understanding of the complete compile chain from ANSI-C to circuits, which is the ‘machine code’ of MPC, the authors first give the necessary background information on MPC proto
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發(fā)表于 2025-3-26 10:25:22 | 只看該作者
29#
發(fā)表于 2025-3-26 15:31:30 | 只看該作者
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發(fā)表于 2025-3-26 17:18:20 | 只看該作者
Masahiro Aoki,Teruaki Fujishitambiguous grammar and grammars of real programming languages. Our results, compared to the original GLL, show a speedup factor of 10 on the highly-ambiguous grammar, and a speedup factor of 1.5, 1.7, and 5.2 on the grammars of Java, C#, and OCaml, respectively.
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