Data Mining Techniques for Protein Sequence Analysis

"Data Mining Techniques for Protein Sequence Analysis" describes habitually about various techniques in data mining which are here united in one edifying textbook. These topics recline at the heart of many areas of data mining, machine learning and bioinformatics. This textbook introduces the assessment of the protein sequence in all aspects. A toolbox of inference techniques includes experimentally tested for classification and clustering algorithms. The result is a textbook on information regarding about the protein sequences, and data mining algorithms for a new generation of students, and a consummate entry point into these subjects for professionals in areas related to bioinformatics and data mining.

Autorentext

Dr. D.Ramyachitra is an Assistant Professor in Bharathiar University. She published papers in Conferences and journals. Her area of interest includes Data mining and Bioinformatics. Mr.P.Manikandan is pursuing M.Phil in Bharathiar University. He published papers in international conferences. His area of interest is Data mining and Bioinformatics.

Klappentext

"Data Mining Techniques for Protein Sequence Analysis" describes habitually about various techniques in data mining which are here united in one edifying textbook. These topics recline at the heart of many areas of data mining, machine learning and bioinformatics. This textbook introduces the assessment of the protein sequence in all aspects. A toolbox of inference techniques includes experimentally tested for classification and clustering algorithms. The result is a textbook on information regarding about the protein sequences, and data mining algorithms for a new generation of students, and a consummate entry point into these subjects for professionals in areas related to bioinformatics and data mining.