標(biāo)題: Titlebook: Machine Learning and Systems Biology in Genomics and Health; Shailza Singh Book 2022 The Editor(s) (if applicable) and The Author(s), unde [打印本頁] 作者: Sediment 時間: 2025-3-21 19:13
書目名稱Machine Learning and Systems Biology in Genomics and Health影響因子(影響力)
書目名稱Machine Learning and Systems Biology in Genomics and Health影響因子(影響力)學(xué)科排名
書目名稱Machine Learning and Systems Biology in Genomics and Health網(wǎng)絡(luò)公開度
書目名稱Machine Learning and Systems Biology in Genomics and Health網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Systems Biology in Genomics and Health被引頻次
書目名稱Machine Learning and Systems Biology in Genomics and Health被引頻次學(xué)科排名
書目名稱Machine Learning and Systems Biology in Genomics and Health年度引用
書目名稱Machine Learning and Systems Biology in Genomics and Health年度引用學(xué)科排名
書目名稱Machine Learning and Systems Biology in Genomics and Health讀者反饋
書目名稱Machine Learning and Systems Biology in Genomics and Health讀者反饋學(xué)科排名
作者: 鋼筆記下懲罰 時間: 2025-3-21 23:05 作者: BILK 時間: 2025-3-22 03:35 作者: 爭吵加 時間: 2025-3-22 05:52 作者: narcotic 時間: 2025-3-22 09:27 作者: 巨頭 時間: 2025-3-22 14:24
ortant topics like precision medicine and‘AI for biomarker dThis book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classificati作者: paroxysm 時間: 2025-3-22 17:40 作者: Militia 時間: 2025-3-23 00:33 作者: 不愿 時間: 2025-3-23 02:35 作者: LASH 時間: 2025-3-23 06:11 作者: 評論者 時間: 2025-3-23 09:52
or breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage.?.This book is useful for researchers in the fields of genomics, genetics, computational biology and bioin978-981-16-5995-9978-981-16-5993-5作者: WATER 時間: 2025-3-23 17:37
M. A. Sundaramahalingam,Ritika Kabra,Shailza Singh作者: DEFER 時間: 2025-3-23 18:27 作者: 串通 時間: 2025-3-23 23:44
Sudipto Bhattacharjee,Abhirupa Ghosh,Banani Saha,Sudipto Saha作者: Gingivitis 時間: 2025-3-24 03:35 作者: 同位素 時間: 2025-3-24 08:55 作者: 盡責(zé) 時間: 2025-3-24 11:58
Construction of Feedforward Multilayer Perceptron Model for Diagnosing Leishmaniasis Using Transcrignosing model for leishmaniasis, using transcriptome data. It was created using a recurrent neural network. The cognitive model of the trained network was interpreted using the maps and mathematical formula of the influencing parameters. The credit of the system was measured using the accuracy, loss作者: 脾氣暴躁的人 時間: 2025-3-24 17:26
Big Data in Drug Discovery,proprietary and commercial screening platforms with the help of big data analysis and management. Thus, the importance of screening platforms and their success stories are highlighted with case studies. Overall, the integration of big data with AI-based tools greatly improves the efficiency of the d作者: patriarch 時間: 2025-3-24 19:56
An Overview of Databases and Tools for lncRNA Genomics Advancing Precision Medicine,lncRNA prediction, numerous computational repositories and predictive algorithms have been published in order to expand our horizons of the understanding and functions of lncRNAs. In this chapter, we described the current tools and computational repositories in the area of lncRNA biology covering nu作者: confide 時間: 2025-3-24 23:54
How Machine Learning Has Revolutionized the Field of Cancer Informatics?,iction of survival rate to the estimation of cancer recurrence, machine learning methods have been proved to provide hopefulness to the scientific community. In the chapter, we discuss machine learning applications in cancer research in various prospects like cancer detection/diagnosis, prognosis, s作者: 漸強(qiáng) 時間: 2025-3-25 04:56 作者: 空中 時間: 2025-3-25 07:51 作者: CHANT 時間: 2025-3-25 15:14
Artificial Intelligence in Biomedical Image Processing,ts in a configuration specified by a graphic schematic design. Artificial intelligence (AI) is extensively applied for the augmentation of medical imaging (processing and interpretation) procedures. This chapter summarizes the application of AI on both simple and sophisticated image analysis techniq作者: REP 時間: 2025-3-25 17:54 作者: 鞏固 時間: 2025-3-25 22:37 作者: Enzyme 時間: 2025-3-26 00:36 作者: 束以馬具 時間: 2025-3-26 04:34
Construction of Feedforward Multilayer Perceptron Model for Diagnosing Leishmaniasis Using Transcriutrition, the weak immune system of people, and their housing locality. It is diagnosed by microscopic identification, molecular and biochemical characterization, or serum analysis for parasitic compounds. In this study, we present a new approach for diagnosing leishmaniasis using transcriptome data作者: wangle 時間: 2025-3-26 12:03
Big Data in Drug Discovery,lified by using big data. Big data is applied in both chemical and biological aspects of drug discovery starting from target validation to the final stage of clinical trials and explained with an example focusing on medicinal chemistry. This chapter lists the public, commercial, and proprietary chem作者: Intend 時間: 2025-3-26 12:39
An Overview of Databases and Tools for lncRNA Genomics Advancing Precision Medicine,he pervasive transcription and discovery of noncoding RNAs, which put aside the assumption of RNA as a mere messenger in the central dogma of molecular biology. It became evident that RNA plays more critical regulatory roles than simply being the genetic information carrier. The advancements in the 作者: 苦惱 時間: 2025-3-26 20:08
Machine Learning in Genomics,prises computational algorithms that learn from data and identify unique patterns within the data. Analyzing genomics data using ML requires precise methods for representation, feature extraction, and feature selection that are specific to the data type, application, and algorithm. In this chapter, 作者: pessimism 時間: 2025-3-26 23:33 作者: 溫和女人 時間: 2025-3-27 03:49 作者: 無政府主義者 時間: 2025-3-27 06:17 作者: rectocele 時間: 2025-3-27 09:56
Artificial Intelligence in Biomedical Image Processing,ology, etc. Medical images are often used in radiological procedures in diagnostic, clinical research, and therapy management. The medical image processing technology is indeed very essential, as it allows the enhanced and improved performance of the medical image analysis. Medical imaging is a proc作者: Diskectomy 時間: 2025-3-27 17:30
Artificial Intelligence and Its Application in Cardiovascular Disease Management,to manual or traditional approaches, AI can provide improved results and efficient outcomes with minimal errors. Machine learning and deep learning trains to act or react according to the data and results in an efficient output. Several types of AI algorithms (supervised or unsupervised) lead to sig作者: 黃油沒有 時間: 2025-3-27 20:04
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