AUTMINER: A SYSTEM FOR EXTRACTING ASD-RELATED GENES USING TEXT MINING

Author:

GONG LEJUN12,SUN XIAO1,JIANG DONGKE1,GONG SHENGTAO1

Affiliation:

1. State Key Laboratory of Bioelectronics, Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, P. R. China

2. Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian 223003, P. R. China

Abstract

Autism spectrum disorders (ASD) represent a group of developmental disorders with strong genetic underpinnings. To explore the genetic complexity of ASD, we developed AutMiner (), a public web-portal for the collection of genes linked to ASD, and the implementation of an autism-centre network. AutMiner extracts candidate genes associated with ASD using text mining from 9276 abstracts. Compared to other recent systems, gene entries are richer to provide a reference for clinical geneticists. AutMiner also constructs ASD-related network consisting of autism-gene network and gene-gene network. To the best of our knowledge, this is the first web example of ASD-related network. The major focus of AutMiner is to offer a valuable reference tool for clinical geneticists in establishing and implementing effective genetic screening programmes for those patients with ASD.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Ecology,Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Ecology

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1. Artificial Intelligence and Machine Learning in Autism Detection: From Common to Rare Disorders;Lecture Notes in Networks and Systems;2024

2. A Review on Predicting Autism Spectrum Disorder(ASD) meltdown using Machine Learning Algorithms;2021 5th International Conference on Electrical Engineering and Information Communication Technology (ICEEICT);2021-11-18

3. Recognition of Disease Genetic Information from Unstructured Text Data Based on BiLSTM-CRF for Molecular Mechanisms;Security and Communication Networks;2021-02-19

4. Applications of Supervised Machine Learning in Autism Spectrum Disorder Research: a Review;Review Journal of Autism and Developmental Disorders;2019-02-19

5. A Dictionary-Based Approach for Identifying Biomedical Concepts;International Journal of Pattern Recognition and Artificial Intelligence;2017-02

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