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標(biāo)題: Titlebook: Human Cell Transformation; Advances in Cell Mod Johng S. Rhim,Anatoly Dritschilo,Richard Kremer Book 2019 The Editor(s) (if applicable) and [打印本頁]

作者: Halloween    時間: 2025-3-21 18:17
書目名稱Human Cell Transformation影響因子(影響力)




書目名稱Human Cell Transformation影響因子(影響力)學(xué)科排名




書目名稱Human Cell Transformation網(wǎng)絡(luò)公開度




書目名稱Human Cell Transformation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Human Cell Transformation被引頻次




書目名稱Human Cell Transformation被引頻次學(xué)科排名




書目名稱Human Cell Transformation年度引用




書目名稱Human Cell Transformation年度引用學(xué)科排名




書目名稱Human Cell Transformation讀者反饋




書目名稱Human Cell Transformation讀者反饋學(xué)科排名





作者: optic-nerve    時間: 2025-3-21 21:41

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作者: Goblet-Cells    時間: 2025-3-22 15:32
c treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: Coronary    時間: 2025-3-22 20:07

作者: 煩憂    時間: 2025-3-23 00:46
Jason R. Pitarresi,Anil K. Rustgit of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonparametric
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作者: collagen    時間: 2025-3-23 06:11
J. Russo,Y. Suc treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: 極力證明    時間: 2025-3-23 10:52
Geeta Upadhyayc treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: hauteur    時間: 2025-3-23 17:13

作者: POWER    時間: 2025-3-23 21:35
Byoung-Joon Song,Mohamed A. Abdelmegeed,Young-Eun Cho,Mohammed Akbar,Johng S. Rhim,Min-Kyung Song,Jac treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: 序曲    時間: 2025-3-23 23:14

作者: guzzle    時間: 2025-3-24 04:03
Johng S. Rhimc treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: 貨物    時間: 2025-3-24 08:15
Nicole Nicolas,Geeta Upadhyay,Alfredo Velena,Bhaskar Kallakury,Johng S. Rhim,Anatoly Dritschilo,Mirac treatment of Bayesian nonparametric methods and the theory behind them. While the book is of special interest to Bayesians, it will also appeal to statisticians in general because Bayesian nonparametrics offers a whole continuous spectrum of robust alternatives to purely parametric and purely nonp
作者: BARGE    時間: 2025-3-24 11:46

作者: 苦笑    時間: 2025-3-24 15:30
Jacqueline Olender,Norman H. Lees of Bayesian optimization techniques in Python.Includes cas.This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of you
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作者: Ingenuity    時間: 2025-3-25 01:58
er explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2. Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization p
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作者: Metastasis    時間: 2025-3-25 16:55
nsor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various
作者: intricacy    時間: 2025-3-25 23:01
John E. Davis Jr,Jason Kirk,Yibing Ji,Dean G. Tangly increase in complexity throughout the brief so that learnThis brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors t
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Emerging Role of Novel Biomarkers of Ly6 Gene Family in Pan Cancermary tumorigenesis in a DMBA-induced mammary tumor model. Sca-1 gene is lost during evolution in humans. Human Ly6 genes Ly6D, LyE, LyH, and LyK on human chromosome 8q24.3 genes are syntenic to the mouse chromosome 15 where Sca-1 is located. We found that Ly6D, E, H, and K are upregulated in human c
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作者: 大猩猩    時間: 2025-3-27 03:24
Novel Human Prostate Epithelial Cell Cultureser incidence and mortality rate from prostate cancer compared to Caucasian men in North America, indicating the prostate cancer is a major public health problem in this population. Studies of prostate cancer have been hampered by various factors including (1) restricted access to tissues, (2) diffic
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作者: 羊欄    時間: 2025-3-27 13:16
Assessing the Advantages, Limitations and Potential of Human Primary Prostate Epithelial Cells as a nale that can be behind this decision and we summarize the current cell models that are used to study prostate cancer. Researchers face the challenge of choosing a model that recapitulates the complexity and heterogeneity of prostate cancer. The use of primary prostate epithelial cells cultured from
作者: 千篇一律    時間: 2025-3-27 17:38
Role of Alternative Splicing in Prostate Cancer Aggressiveness and Drug Resistance in African Americies diversity. Dysregulation of alternative splicing can initiate and drive disease. Aberrant alternative splicing has been shown to promote the “hallmarks of cancer” in both hematological and solid cancers. Of interest, recent work has focused on the role of alternative splicing in prostate cancer
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Discovery of Metabolic Biomarkers Predicting Radiation Therapy Late Effects in Prostate Cancer Patie. Management options may include watchful waiting, surgery, or radiation therapy. Thus, initial risk stratification of prostate cancer patients is important for achieving optimal therapeutic results or cancer cure and preservation of quality of life. Predictive biomarkers for risks of complications
作者: AMPLE    時間: 2025-3-27 22:21
The Aging Skeletonetal sites and varies between sexes. Accelerated loss of bone occurs in the perimenopausal period in women, whereas more gradual but progressive loss of bone occurs in aging men. Changes in bone quality as well as bone quantity occur during growth and subsequent aging. These include changes in bone
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Targeting DNA Hypomethylation in Malignancy by Epigenetic Therapiesin various cellular processes like embryogenesis, genomic imprinting, X-chromosome inactivation, and genome stability. Alterations in the normal methylation levels of DNA may contribute to the development of pathological conditions like cancer. Even though both hypo- and hypermethylation-mediated ab
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作者: 柔美流暢    時間: 2025-3-28 17:22
Book 2019 cancer and aging. Several of the chapters are from the Human Cell Transformation: Advances in Cell Models for the Study of Cancer and Aging conference that was held in June 2018 at McGill University. The authors represent international expertise on a wide variety of topics ranging from different ty
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Tumor Dormancy and Slow-Cycling Cancer Cellsship between SCCs and cancer stem cells (CSCs). We also present our current understanding of how SCCs and cancer dormancy might be regulated. Increasing knowledge of SCCs and tumor dormancy should lead to identification of novel molecular regulators and therapeutic targets of tumor relapse, residual diseases, and metastasis.
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0065-2598 tting edge information on a very hot and timely topicThis book, part contributed volume, part proceedings, discusses state-of-the-art advances on human cell transformation in cell models for the study of cancer and aging. Several of the chapters are from the Human Cell Transformation: Advances in Ce
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Assessing the Advantages, Limitations and Potential of Human Primary Prostate Epithelial Cells as a ative phase imaging technique is described, along with the potential for cell characterization to not only include gene expression and protein markers but also morphological features, cell behaviour and kinetic activity.
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作者: 提名    時間: 2025-3-29 19:44
Parathyroid Hormone-Related Protein (PTHrP): An Emerging Target in Cancer Progression and Metastasisovided new evidence that overexpression of PTHrP is associated with higher incidence of brain metastasis and decreased overall survival in triple-negative breast cancer patients. Further mechanistic studies in human and mouse model are necessary to fully understand the role of PTHrP in tumor progression and metastasis.
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作者: 忘川河    時間: 2025-3-30 06:05
Book 2019e that was held in June 2018 at McGill University. The authors represent international expertise on a wide variety of topics ranging from different types of cancer (prostate, bone, breast, etc.) to tumor microenvironment, tumor progression, homogeneity, and possible therapies and treatments..
作者: 羞辱    時間: 2025-3-30 10:40
Fiona M. Frame,Amanda R. Noble,Peter O’Toole,Jo Marrison,Timothy Godden,Andrew O’Brien,Norman J. Maik, you will have a firm grasp of Bayesian optimization techniques, which you’ll be able to put into practice in your own machine learning models..What You Will Learn.Apply Bayesian Optimization to build better 978-1-4842-9062-0978-1-4842-9063-7
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作者: 法律的瑕疵    時間: 2025-3-30 16:40
David Goltzmaner experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicabilit978-3-030-82457-0978-3-030-82458-7Series ISSN 2191-544X Series E-ISSN 2191-5458
作者: BILK    時間: 2025-3-30 21:36





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