همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Enhancing Predictive Accuracy of CRISPR-Cas9 on-target efficiency using Deep Learning and Active Learning Optimization for Small Datasets

نویسندگان :

Masoud Mahdavifar¹ Fateme Zaremirakabad²

1- دانشگاه صنعتی امیرکبیر 2- دانشگاه صنعتی امیرکبیر

کلمات کلیدی :

CRISPR-Cas9،Gene editing،Deep learning،Active learning

چکیده :

The CRISPR-Cas9 gene editing system has revolutionized genetics, but predicting sgRNA cleavage efficiency remains a challenge, particularly with small datasets. We present a deep learning framework optimized for small datasets by integrating active learning, which iteratively prioritizes the most informative data points for labeling. Our model outperforms previous methods on benchmark datasets, capturing complex sequence features through domain-specific properties. Active learning reduces the required dataset size enabling high predictive accuracy even with limited data. This approach provides a scalable and robust solution for improving CRISPR-Cas9 design and precise gene editing across diverse genomic contexts, demonstrating the potential of active learning to enhance deep learning model performance in data-scarce scenarios.

لیست مقالات

لیست مقالات بایگانی شده

Machine Learning for Enhanced Diagnosis of Endometriosis: Challenges and Opportunities

Maedeh Darodi - Toktam Dehghani

A dynamic co-expression approach reveals Gins2 as a potential upstream modulator of HNSCC metastasis

Nasibeh Khayer - Samira Shabani - Maryam Jalessi - Mohammad Taghi Joghataei - Frouzandeh Mahjoubi

Multi-Target Drug Discovery for Rheumatoid Arthritis: A Comprehensive Computational Approach Using Bioactive Compounds

Pegah Mansouri - Pardis Mansouri - Sohrab Najafipour - Seyed Amin Kouhpayeh - Akbar Farjadfar - Esmaeil Behmard

Exploring Vaginal Microbiome Diversity in Early Pregnancy: Implications for Healthy Pregnancy and Miscarriage

Nasrin Vatankhah Hagigi - Mohammad Hossein Norouzi-Beirami

Dissecting the genetic causes of inflammatory bowel disease based on whole exome sequencing

Amir Shahbazi - Mehdi Totonchi

Graphene Oxide Nanosheets as Drug Carriers for Erdafitinib in a Targeted Drug Delivery System: A Cutting-Edge Approach to Cancer Therapy

Hooriye Yahyaei - Nahid Shajari - Amirreza Saeni - Ahmadreza Saeni

Immunoinformatics Approach to Epitope-Based Vaccine Design for H5N1 Avian Influenza Virus

Yasmin Alamdar

Investigation of Missense Mutations in the SHBG Gene: Bioinformatic Analysis and Pathogenesis Prediction in binding and regulating the bioavailability of sex hormones

Mohammad Amin Shohadaee - Helena Choobineh - Mehri Khatami

Revealing disease subtypes and heterogeneity in common variable immunodeficiency through transcriptomic analysis

Mohammad Reza Zabihi - Zahra Moradi - Nima Safari - Zahra Salehi - Kaveh Kavousi

Gut Proteomics Reflecting Extraintestinal Organ Involvement in IBD

Leila Ghanbari Maman - Sadegh Rizi - Mahdi Anvari - Anna Meyfour - Kaveh Kavousi

بیشتر