Titlebook: Handbook of Machine Learning Applications for Genomics; Sanjiban Sekhar Roy,Y.-H. Taguchi Book 2022 The Editor(s) (if applicable) and The

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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.

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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

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Handbook of Machine Learning Applications for Genomics

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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

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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

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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

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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

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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