Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis

Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis

Subarachnoid hemorrhage (SAH) is devastating disease with high mortality, high disability rate, and poor clinical prognosis. It has drawn great attentions in both basic and clinical medicine. Therefore, it is necessary to explore the therapeutic drugs and effective targets for early prediction of SA...

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Main Authors: Wanjing Lei, Han Zeng, Hua Feng, Xufang Ru, Qiang Li, Ming Xiao, Huiru Zheng, Yujie Chen, Le Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
bioinformatics
genomics
big data
artificial intelligence
genetics
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00391/full
id doaj-b0faf1960804401ab194448f5415464b
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spelling doaj-b0faf1960804401ab194448f5415464b2020-11-25T03:10:24ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-04-011110.3389/fgene.2020.00391503036Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway AnalysisWanjing Lei0Han Zeng1Hua Feng2Hua Feng3Xufang Ru4Xufang Ru5Qiang Li6Qiang Li7Ming Xiao8Huiru Zheng9Yujie Chen10Yujie Chen11Le Zhang12Le Zhang13College of Computer Science, Sichuan University, Chengdu, ChinaCollege of Computer and Information Science, Southwest University, Chongqing, ChinaDepartment of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, ChinaState Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, ChinaDepartment of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, ChinaState Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, ChinaDepartment of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, ChinaState Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, ChinaCollege of Computer Science, Sichuan University, Chengdu, ChinaSchool of Computing, Ulster University, Coleraine, United KingdomDepartment of Neurosurgery, Southwest Hospital, Third Military Medical University, Chongqing, ChinaState Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, ChinaCollege of Computer Science, Sichuan University, Chengdu, ChinaCollege of Computer and Information Science, Southwest University, Chongqing, ChinaSubarachnoid hemorrhage (SAH) is devastating disease with high mortality, high disability rate, and poor clinical prognosis. It has drawn great attentions in both basic and clinical medicine. Therefore, it is necessary to explore the therapeutic drugs and effective targets for early prediction of SAH. Firstly, we demonstrate that LCN2 can effectively intervene or treat SAH from the perspective of cell signaling pathway. Next, three potential genes that we explored have been validated by manually reviewed experimental evidences. Finally, we turn out that the SAH early ensemble learning predictive model performs better than the classical LR, SVM, and Naïve-Bayes models.https://www.frontiersin.org/article/10.3389/fgene.2020.00391/fullbioinformaticsgenomicsbig dataartificial intelligencegenetics
collection DOAJ
language English
format Article
sources DOAJ
author Wanjing Lei
Han Zeng
Hua Feng
Hua Feng
Xufang Ru
Xufang Ru
Qiang Li
Qiang Li
Ming Xiao
Huiru Zheng
Yujie Chen
Yujie Chen
Le Zhang
Le Zhang
spellingShingle Wanjing Lei
Han Zeng
Hua Feng
Hua Feng
Xufang Ru
Xufang Ru
Qiang Li
Qiang Li
Ming Xiao
Huiru Zheng
Yujie Chen
Yujie Chen
Le Zhang
Le Zhang
Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
Frontiers in Genetics
bioinformatics
genomics
big data
artificial intelligence
genetics
author_facet Wanjing Lei
Han Zeng
Hua Feng
Hua Feng
Xufang Ru
Xufang Ru
Qiang Li
Qiang Li
Ming Xiao
Huiru Zheng
Yujie Chen
Yujie Chen
Le Zhang
Le Zhang
author_sort Wanjing Lei
title Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
title_short Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
title_full Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
title_fullStr Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
title_full_unstemmed Development of an Early Prediction Model for Subarachnoid Hemorrhage With Genetic and Signaling Pathway Analysis
title_sort development of an early prediction model for subarachnoid hemorrhage with genetic and signaling pathway analysis
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2020-04-01
description Subarachnoid hemorrhage (SAH) is devastating disease with high mortality, high disability rate, and poor clinical prognosis. It has drawn great attentions in both basic and clinical medicine. Therefore, it is necessary to explore the therapeutic drugs and effective targets for early prediction of SAH. Firstly, we demonstrate that LCN2 can effectively intervene or treat SAH from the perspective of cell signaling pathway. Next, three potential genes that we explored have been validated by manually reviewed experimental evidences. Finally, we turn out that the SAH early ensemble learning predictive model performs better than the classical LR, SVM, and Naïve-Bayes models.
topic bioinformatics
genomics
big data
artificial intelligence
genetics
url https://www.frontiersin.org/article/10.3389/fgene.2020.00391/full
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