標(biāo)題: Titlebook: Handbook of Machine Learning Applications for Genomics; Sanjiban Sekhar Roy,Y.-H. Taguchi Book 2022 The Editor(s) (if applicable) and The [打印本頁] 作者: 使沮喪 時(shí)間: 2025-3-21 19:35
書目名稱Handbook of Machine Learning Applications for Genomics影響因子(影響力)
書目名稱Handbook of Machine Learning Applications for Genomics影響因子(影響力)學(xué)科排名
書目名稱Handbook of Machine Learning Applications for Genomics網(wǎng)絡(luò)公開度
書目名稱Handbook of Machine Learning Applications for Genomics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Handbook of Machine Learning Applications for Genomics被引頻次
書目名稱Handbook of Machine Learning Applications for Genomics被引頻次學(xué)科排名
書目名稱Handbook of Machine Learning Applications for Genomics年度引用
書目名稱Handbook of Machine Learning Applications for Genomics年度引用學(xué)科排名
書目名稱Handbook of Machine Learning Applications for Genomics讀者反饋
書目名稱Handbook of Machine Learning Applications for Genomics讀者反饋學(xué)科排名
作者: 巧思 時(shí)間: 2025-3-21 22:20 作者: prosthesis 時(shí)間: 2025-3-22 01:14 作者: 我不怕犧牲 時(shí)間: 2025-3-22 07:17 作者: 文件夾 時(shí)間: 2025-3-22 09:25
Marenglen Biba,Narasimha Rao Vajjhalare not specifically designed for optimal gas treatment. Slight variations where the reactor is specifically designed for gas treatment and is not co-degrading waste water contaminants have been termed . (Bielefeldt and Stensel, 1998), . (Neal and Loehr, 2000), and . (Andrews and Noah, 1995). More sp作者: 能量守恒 時(shí)間: 2025-3-22 12:54
Prajjwal Gupta,Saransh Bhachawat,Kshitij Dhyani,B.K. Tripathyre not specifically designed for optimal gas treatment. Slight variations where the reactor is specifically designed for gas treatment and is not co-degrading waste water contaminants have been termed . (Bielefeldt and Stensel, 1998), . (Neal and Loehr, 2000), and . (Andrews and Noah, 1995). More sp作者: 丑惡 時(shí)間: 2025-3-22 18:33 作者: asthma 時(shí)間: 2025-3-22 23:25
Vinamra Khoria,Amit Kumar,Sanjiban Shekhar Royethylene) or are only aerobically degraded by co-metabolism (e.g., trichloroethylene). Some compounds are in principle biodegradable, but their elimination in biofilters needs long start up periods. It has been reported that elimination of certain organo-sulphur compounds only started 5 months after作者: Common-Migraine 時(shí)間: 2025-3-23 03:32 作者: 歡騰 時(shí)間: 2025-3-23 07:57
Manojit Bhattacharya,Ashish Ranjan Sharma,Chiranjib Chakrabortyase of up to 4.2 over a period of 5 days compared to a maximum 1.5–2-fold increase in the adherent static culture over a 1 week period. In the bioreactor culture, these cells maintained self-renewal, karyotype stability, and cloning efficiency capabilities. This approach can be also used for human n作者: curettage 時(shí)間: 2025-3-23 12:45
Orsalia Hazapi,Nefeli Lagopati,Vasileios C. Pezoulas,G. I. Papayiannis,Dimitrios I. Fotiadis,Dimitrind the production of an energy-rich gas – the biogas. On the other hand, the multistep conversion of complex organic material offers the possibility of interrupting the conversion chain and locking out intermediates for utilization as basic material within the chemical industry.作者: Functional 時(shí)間: 2025-3-23 17:56
2197-6503 demicians,? practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields..978-981-16-9160-7978-981-16-9158-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: 等待 時(shí)間: 2025-3-23 21:37
Handbook of Machine Learning Applications for Genomics作者: MAL 時(shí)間: 2025-3-24 02:05 作者: 領(lǐng)巾 時(shí)間: 2025-3-24 05:36
Statistical Relational Learning for Genomics Applications: A State-of-the-Art Review,ng in relational domains where observations may be missing, partially observed, and noisy. This chapter introduces a background overview of various models, including probabilistic graphical models, Bayesian networks, dependency networks, Markov networks, first-order logic, and probabilistic inductiv作者: 消散 時(shí)間: 2025-3-24 07:12
A Study of Gene Characteristics and Their Applications Using Deep Learning,r arrangement mostly determines the genetic information carried within a DNA segment, therefore sequencing becomes a very important aspect in the field of genomics. Now it becomes ever more important to optimize this process of sequencing and analysis and the field of deep learning has a lot to offe作者: genesis 時(shí)間: 2025-3-24 12:15 作者: Ointment 時(shí)間: 2025-3-24 18:55
Leukaemia Classification Using Machine Learning and Genomics, the tools at our disposal are sharper than ever. One such tool that has quite a lot of untapped potential is Machine Learning. Machine Learning is the field of computer science that gives computers the ability to understand data and make decisions based on that understanding, in quite a similar way作者: sperse 時(shí)間: 2025-3-24 20:21
Challenges of Long Non Coding RNAs in Human Disease Diagnosis and Therapies: Bio-Computational Apprhe fundamental regulatory elements exist at each level of cell and molecular physiology, where their variations are linked with several human diseases. Here we highlighted and summarised the significant roles of lncRNAs in diverse human diseases, their application as biomarkers element and effective作者: BILK 時(shí)間: 2025-3-25 02:34
Protein Sequence Classification Using Convolutional Neural Network and Natural Language Processing, sequence of amino acids has recently received popularity from various researchers. This chapter proposes a protein sequence classification technique using 1D Convolutional Neural Network (CNN). We also have discussed how NLP algorithms can be used for protein sequencing. We have achieved an accurac作者: 四目在模仿 時(shí)間: 2025-3-25 07:08 作者: Lymphocyte 時(shí)間: 2025-3-25 08:25 作者: LAPSE 時(shí)間: 2025-3-25 15:19 作者: engrossed 時(shí)間: 2025-3-25 16:03 作者: placebo-effect 時(shí)間: 2025-3-25 22:47 作者: Creatinine-Test 時(shí)間: 2025-3-26 04:04 作者: 中止 時(shí)間: 2025-3-26 07:39
Prajjwal Gupta,Saransh Bhachawat,Kshitij Dhyani,B.K. Tripathy behind activated sludge treatment is simple: in a single reactor the contaminant transfers from gas into bulk liquid where it is degraded by a suspension of bacteria. The gas is generally introduced into the bottom of the liquid in the reactor in the form of dispersed bubbles. Using this most simpl作者: Anterior 時(shí)間: 2025-3-26 10:02 作者: lavish 時(shí)間: 2025-3-26 13:46 作者: 不可思議 時(shí)間: 2025-3-26 20:40 作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-26 21:58 作者: Blanch 時(shí)間: 2025-3-27 02:02
Orsalia Hazapi,Nefeli Lagopati,Vasileios C. Pezoulas,G. I. Papayiannis,Dimitrios I. Fotiadis,Dimitrixide. The technical application of the naturally-occurring process is used to provide a renewable energy carrier and – as the substrate is often waste material – to reduce the organic matter content of the substrate prior to disposal..Applications can be found in sewage sludge treatment, the treatme作者: 溫室 時(shí)間: 2025-3-27 08:43 作者: hemoglobin 時(shí)間: 2025-3-27 11:26 作者: FIG 時(shí)間: 2025-3-27 13:43 作者: 整潔 時(shí)間: 2025-3-27 19:46 作者: GONG 時(shí)間: 2025-3-28 00:53
Sanjiban Sekhar Roy,Y.-H. TaguchiPresents comprehensive coverage of machine learning methods in the classification of genomics data.Addresses the effect of imbalance in the machine learning classifications of genomics data.Provides a作者: Compass 時(shí)間: 2025-3-28 02:18 作者: Isometric 時(shí)間: 2025-3-28 08:26
Multiomics Data Analysis of Cancers Using Tensor Decomposition and Principal Component Analysis BasMultiomics data analyses using principal component analysis as well as tensor decomposition based unsupervised feature extraction were performed toward various cancers. It turned out that it is a very effective method to understand how multiomics contributes to cancer progressions.作者: STERN 時(shí)間: 2025-3-28 12:34
In Silico Drug Discovery Using Tensor Decomposition Based Unsupervised Feature Extraction,We have performed in silico drug repositioning using tensor decomposition based feature extraction. It turned out that it is a very effective method to identify drugs effective to the diseases not targeted by these drugs.作者: 勉強(qiáng) 時(shí)間: 2025-3-28 15:23
Machine Learning for Protein Engineering,on, the subsequent sections of this chapter will be dedicated to following a schema to design and implement ML for problems involving protein engineering. The steps below offer a guide to this schema and the organization of this chapter in the context of protein engineering.作者: 拒絕 時(shí)間: 2025-3-28 21:40 作者: Habituate 時(shí)間: 2025-3-29 00:47
Book 2022the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as? DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the 作者: Climate 時(shí)間: 2025-3-29 06:45
Statistical Relational Learning for Genomics Applications: A State-of-the-Art Review,ochastic logic programs, Bayesian logic programs, relational dependency networks, relational Markov networks, and Markov logic networks. Finally, the last part of the paper focuses on the practical application of statistical relational learning techniques in genomics. The chapter concludes with a discussion on the limitations of current methods.作者: Legend 時(shí)間: 2025-3-29 09:34
Machine Learning for Metabolic Networks Modelling: A State-of-the-Art Survey,). We then present recent applications of machine learning in the context of metabolic network modeling concluding with a discussion on the limitations of current methods and challenges for future work.作者: GLUE 時(shí)間: 2025-3-29 13:15 作者: 下船 時(shí)間: 2025-3-29 17:08
Computational Biology in the Lens of CNN,lution for the analysis of gene expression images. This technique solves some of the setbacks faced by traditional machine learning approaches while advances in technology have enabled the capture of gene sequence images, while in some cases non-image data captured can be converted to an image for analysis.作者: 血友病 時(shí)間: 2025-3-29 21:21 作者: Endoscope 時(shí)間: 2025-3-30 00:08 作者: 樂意 時(shí)間: 2025-3-30 05:22
,Machine Learning: A Tool to?Shape the?Future of?Medicine,urposing models, thus evaluating and establishing . novel treatments. The aim of this chapter is to provide and analyze the mathematics behind such ML techniques and review the current applications being developed that walk side by the side with the continuous progress of biosciences.作者: jumble 時(shí)間: 2025-3-30 10:57
Erkenntnisstand,in. Dies ist aber insofern nicht der Fall, als das Reaktionsprodukt h?ufig als kompakte Phase auftritt und die Ausgangsstoffe r?umlich voneinander trennt. Der weitere Ablauf der Reaktion ist nur m?glich, wenn einer der Ausgangsstoffe durch die Oxydschicht zum anderen Reaktionspartner diffundiert. De作者: 是他笨 時(shí)間: 2025-3-30 13:23
P. K. Kapur,H. Pham,A. Gupta,P. C. Jhas with unique properties. With the discovery of formation of amorphous alloys using this technique, it has received new research interest in developing different material systems. Potential applications of this technique have been demonstrated in different areas of materials research. This book is i作者: FORGO 時(shí)間: 2025-3-30 20:18
https://doi.org/10.1007/978-3-540-24744-9ARIS; Change; Enterprise Architecture; Leadership; Mapping; business; business process; information technol
