Journal Article2023

Transcriptomic Analysis Provides Insights into Allergen Profile of Hilsa Shad Tenualosa Ilisha

Sadia Noor Mou, Afsana Akter Rupa, Md Arko Ayon Chowdhury, Md Lifat Rahi, Abdul Baten, Amin Ahsan Ali, Haseena Khan, Md Ashraful Amin, Mohammad Riazul Islam

Available at SSRN 4491781

Elsevier BV

DOI: 10.2139/ssrn.4491781Open AccessURL

Keywords

  • parvalbumin
  • tropomyosin
  • muscle transcriptome
  • Tenualosa ilisha
  • fish allergy
  • IgE binding
  • hilsa shad
  • aldolase
  • enolase
  • fish allergens

CCDS Authors

Amin Ahsan Ali, PhD
Amin Ahsan Ali, PhD

Amin Ahsan Ali, PhD

  • Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

ACL, CHI, UbiComp, ECCV, IJCAI, ECAI, WACV, IPSN, PAKDD, LREC, IJCNN, ICPR, ICIP, BEA, BLP, ICMLA, Scientific Reports, Scientific Data, Pattern Recognition, Information Sciences, Ad Hoc Networks, Drug and Alcohol Dependence, PLOS ONE

Research Interests

Artificial Intelligence, Machine Learning

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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