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Titlebook: q-RASAR; A Path to Predictive Kunal Roy,Arkaprava Banerjee Book 2024 The Author(s), under exclusive license to Springer Nature Switzerland

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發(fā)表于 2025-3-21 19:24:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱q-RASAR
副標題A Path to Predictive
編輯Kunal Roy,Arkaprava Banerjee
視頻videohttp://file.papertrans.cn/783/782039/782039.mp4
概述Introduces the reader to a novel cheminformatic workflow.Presents the genesis and model development.Includes practical examples and software tools
叢書名稱SpringerBriefs in Molecular Science
圖書封面Titlebook: q-RASAR; A Path to Predictive Kunal Roy,Arkaprava Banerjee Book 2024 The Author(s), under exclusive license to Springer Nature Switzerland
描述.This brief offers an introduction to the fascinating new field of quantitative read-across structure-activity relationships (q-RASAR) as a cheminformatics modeling approach in the background of quantitative structure-activity relationships (QSAR) and read-across (RA) as data gap-filling methods. It discusses the genesis and model development of q-RASAR models demonstrating practical examples. It also showcases successful case studies on the application of q-RASAR modeling in medicinal chemistry, predictive toxicology, and materials sciences. The book also includes the tools used for q-RASAR model development for new users. It is a valuable resource for researchers and students interested in grasping the development algorithm of q-RASAR models and their application within specific research domains..
出版日期Book 2024
關(guān)鍵詞QSAR; Read-across; q-RASAR; Cheminformatics; Chemometrics; Machine Learning; Predictions; Validation; Data G
版次1
doihttps://doi.org/10.1007/978-3-031-52057-0
isbn_softcover978-3-031-52056-3
isbn_ebook978-3-031-52057-0Series ISSN 2191-5407 Series E-ISSN 2191-5415
issn_series 2191-5407
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2024
The information of publication is updating

書目名稱q-RASAR影響因子(影響力)




書目名稱q-RASAR影響因子(影響力)學科排名




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書目名稱q-RASAR網(wǎng)絡(luò)公開度學科排名




書目名稱q-RASAR被引頻次




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發(fā)表于 2025-3-21 22:20:44 | 只看該作者
q-RASAR978-3-031-52057-0Series ISSN 2191-5407 Series E-ISSN 2191-5415
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Kunal Roy,Arkaprava Banerjeend important case to the body of research on parties’ fulfilment of election promises. Furthermore, it gives me an opportunity to describe the hands-on problems that empirical investigations of election pledge fulfilment stand before, which is useful for an understanding of the scholarly part of the
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發(fā)表于 2025-3-22 18:02:27 | 只看該作者
Kunal Roy,Arkaprava Banerjeey is: how common is the view that parties usually break their election promises? In addressing this question, I collected data from different sources. The International Social Survey Programme (ISSP) asked a question about election promises in both their 1996 survey (‘Role of Government III’) and th
8#
發(fā)表于 2025-3-22 21:14:29 | 只看該作者
Kunal Roy,Arkaprava Banerjeey is: how common is the view that parties usually break their election promises? In addressing this question, I collected data from different sources. The International Social Survey Programme (ISSP) asked a question about election promises in both their 1996 survey (‘Role of Government III’) and th
9#
發(fā)表于 2025-3-23 04:43:42 | 只看該作者
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