Nasrin Akhter

Affiliation

Deputy Controller of Examinations, Sheikh Hasina Medical University, Khulna, Bangladesh

Topic

Accessible Surface,B-cell Epitope Prediction,B-cell Epitopes,Epitope Prediction,ExPASy ProtParam Tool,Instability Index,Model Validation,Ramachandran Plot,Transmembrane Region,Accessible Area,Aliphatic Index,Antigenicity Prediction,Epitope Analysis,Homology Modeling,Learning Algorithms,Linear Epitopes,Machine Learning,Number Of Amino Acids,Random Forest,Random Forest Classifier,Solvent Accessible Surface Area,Support Vector Machine,Theoretical pI,3D Model Of Protein,Abusive Language,Accessible Regions,Accessible Surface Area,Accurate Results,Air Holes,Aluminium Alloy,Analysis Of Physicochemical Properties,Anisotropy,Background Material,Bone Mineral Density,Bone Resorption,Bone Type,C-type Lectin,Circular Structure,Circulating Tumor Cells,Classification Of Ovarian Cancer,Clustering-based Methods,Column Vector,Comments Section,Computational Biology,Consensus Method,Costimulatory Signals,Count Vector,Cyberbullying,Damping Coefficient,Decision Tree,

Biography

Nasrin Akhter received the master’s degree from the Department of Computer Science and Engineering at the University of Dhaka, Bangladesh. She is currently working toward the PhD degree in computer science at George Mason University, USA. Her research interests include machine learning and data mining with applications in computational biology and bioinformatics.