Feature Selection and Feature Extraction on Omics Data
portes grátis
Feature Selection and Feature Extraction on Omics Data
Li, Aimin; Seth, Soumita; Borah, Kasmika; Shekhar Das, Himanish; Mallik, Saurav; Zhao, Zhongming
Taylor & Francis Ltd
03/2026
264
Dura
Inglês
9781032967677
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Chapter 1: Machine learning and Statistical based Feature Selection and Extraction approach for omics data
Kamlesh Kumar Pandey, Abhay Mishra, Gaurav Jain
Chapter 2: Advanced Feature Selection and Extraction Techniques for Omics Data Analysis: Applications in Multi-Omics Integration
M. M. Mohamed Mufassirin, A. Alan Steve Amath
Chapter 3: Role of Bioinformatics and Feature Selection Approaches in Analyzing Metagenomics Data
Anita Kachari, Deepranjan Pathak
Chapter 4: Feature Extraction and Selection Methods and Bioinformatics on Omics Data to Identify Signatures for Schizophrenia Mental Health Disorder
Pinju Saikia, Karan Mech
Chapter 5: Efficient Gene Selection for Breast Cancer Classification Using Brownian Motion Search Algorithm and Support Vector Machine
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Guimin Qin
Chapter 6: Feature Extraction and selection methods and Bioinformatics approach on Omics data to identify molecular signatures for specific diseases
Muskan Syed, Anushka Gupta, Priyanka Narad, Abhishek Sengupta
Chapter 7: Feature extraction and selection methods outperform machine learning and deep learning techniques
Tuward Jade Dweh, Selorm Adablanu
Chapter 8: A Hybrid Feature Gene Selection Approach by Integrating Variance Filter, Extremely Randomized Tree, and Cuckoo Search Algorithm for Cancer Classification
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Ruifeng Hu
Chapter 9: Complexity to Clarity: Feature Selection and Extraction in Plant and Microbial From Omics Research
Dola Mukherjee
Chapter 10: Analysis of Skin Diseases Using Deep Learning Techniques
Atikul Islam, Kalyani Mali, Mohit Kumar halder, Suvobrata Sarkar
Chapter 1: Machine learning and Statistical based Feature Selection and Extraction approach for omics data
Kamlesh Kumar Pandey, Abhay Mishra, Gaurav Jain
Chapter 2: Advanced Feature Selection and Extraction Techniques for Omics Data Analysis: Applications in Multi-Omics Integration
M. M. Mohamed Mufassirin, A. Alan Steve Amath
Chapter 3: Role of Bioinformatics and Feature Selection Approaches in Analyzing Metagenomics Data
Anita Kachari, Deepranjan Pathak
Chapter 4: Feature Extraction and Selection Methods and Bioinformatics on Omics Data to Identify Signatures for Schizophrenia Mental Health Disorder
Pinju Saikia, Karan Mech
Chapter 5: Efficient Gene Selection for Breast Cancer Classification Using Brownian Motion Search Algorithm and Support Vector Machine
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Guimin Qin
Chapter 6: Feature Extraction and selection methods and Bioinformatics approach on Omics data to identify molecular signatures for specific diseases
Muskan Syed, Anushka Gupta, Priyanka Narad, Abhishek Sengupta
Chapter 7: Feature extraction and selection methods outperform machine learning and deep learning techniques
Tuward Jade Dweh, Selorm Adablanu
Chapter 8: A Hybrid Feature Gene Selection Approach by Integrating Variance Filter, Extremely Randomized Tree, and Cuckoo Search Algorithm for Cancer Classification
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Ruifeng Hu
Chapter 9: Complexity to Clarity: Feature Selection and Extraction in Plant and Microbial From Omics Research
Dola Mukherjee
Chapter 10: Analysis of Skin Diseases Using Deep Learning Techniques
Atikul Islam, Kalyani Mali, Mohit Kumar halder, Suvobrata Sarkar
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multi-omics integration;biomarker discovery;disease classification methods;dimensionality reduction;gene expression analysis;deep learning in bioinformatics;high-dimensional omics data analysis
Table of Contents
Chapter 1: Machine learning and Statistical based Feature Selection and Extraction approach for omics data
Kamlesh Kumar Pandey, Abhay Mishra, Gaurav Jain
Chapter 2: Advanced Feature Selection and Extraction Techniques for Omics Data Analysis: Applications in Multi-Omics Integration
M. M. Mohamed Mufassirin, A. Alan Steve Amath
Chapter 3: Role of Bioinformatics and Feature Selection Approaches in Analyzing Metagenomics Data
Anita Kachari, Deepranjan Pathak
Chapter 4: Feature Extraction and Selection Methods and Bioinformatics on Omics Data to Identify Signatures for Schizophrenia Mental Health Disorder
Pinju Saikia, Karan Mech
Chapter 5: Efficient Gene Selection for Breast Cancer Classification Using Brownian Motion Search Algorithm and Support Vector Machine
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Guimin Qin
Chapter 6: Feature Extraction and selection methods and Bioinformatics approach on Omics data to identify molecular signatures for specific diseases
Muskan Syed, Anushka Gupta, Priyanka Narad, Abhishek Sengupta
Chapter 7: Feature extraction and selection methods outperform machine learning and deep learning techniques
Tuward Jade Dweh, Selorm Adablanu
Chapter 8: A Hybrid Feature Gene Selection Approach by Integrating Variance Filter, Extremely Randomized Tree, and Cuckoo Search Algorithm for Cancer Classification
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Ruifeng Hu
Chapter 9: Complexity to Clarity: Feature Selection and Extraction in Plant and Microbial From Omics Research
Dola Mukherjee
Chapter 10: Analysis of Skin Diseases Using Deep Learning Techniques
Atikul Islam, Kalyani Mali, Mohit Kumar halder, Suvobrata Sarkar
Chapter 1: Machine learning and Statistical based Feature Selection and Extraction approach for omics data
Kamlesh Kumar Pandey, Abhay Mishra, Gaurav Jain
Chapter 2: Advanced Feature Selection and Extraction Techniques for Omics Data Analysis: Applications in Multi-Omics Integration
M. M. Mohamed Mufassirin, A. Alan Steve Amath
Chapter 3: Role of Bioinformatics and Feature Selection Approaches in Analyzing Metagenomics Data
Anita Kachari, Deepranjan Pathak
Chapter 4: Feature Extraction and Selection Methods and Bioinformatics on Omics Data to Identify Signatures for Schizophrenia Mental Health Disorder
Pinju Saikia, Karan Mech
Chapter 5: Efficient Gene Selection for Breast Cancer Classification Using Brownian Motion Search Algorithm and Support Vector Machine
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Guimin Qin
Chapter 6: Feature Extraction and selection methods and Bioinformatics approach on Omics data to identify molecular signatures for specific diseases
Muskan Syed, Anushka Gupta, Priyanka Narad, Abhishek Sengupta
Chapter 7: Feature extraction and selection methods outperform machine learning and deep learning techniques
Tuward Jade Dweh, Selorm Adablanu
Chapter 8: A Hybrid Feature Gene Selection Approach by Integrating Variance Filter, Extremely Randomized Tree, and Cuckoo Search Algorithm for Cancer Classification
Abrar Yaqoob, R. Vijaya Lakshmi, Navneet kumar verma, GVV Jagannadha Rao, Rabia Musheer Aziz, Tejaswini Pradhan, Ruifeng Hu
Chapter 9: Complexity to Clarity: Feature Selection and Extraction in Plant and Microbial From Omics Research
Dola Mukherjee
Chapter 10: Analysis of Skin Diseases Using Deep Learning Techniques
Atikul Islam, Kalyani Mali, Mohit Kumar halder, Suvobrata Sarkar
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
