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检索条件"任意字段=IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology"
3563 条 记 录,以下是421-430 订阅
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Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第3期19卷 1365-1378页
作者: Bui, Lien A. Yeboah, Dacosta Steinmeister, Louis Azizi, Sima Hier, Daniel B. Wunsch, Donald C. Olbricht, Gayla R. Obafemi-Ajayi, Tayo Missouri State Univ Dept Comp Sci Springfield MO 65897 USA Missouri Univ Sci & Technol Dept Math & Stat Rolla MO 65409 USA Missouri Univ Sci & Technol Dept Elect & Comp Engn Appl Computat Intelligence Lab Rolla MO 65409 USA Missouri State Univ Engn Program Springfield MO 65897 USA
Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Approximately four million concussions are diagnosed annually in the United States. Concussion is a heterogeneous disorder... 详细信息
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A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第2期19卷 773-785页
作者: Mallick, Koushik Mallik, Saurav Bandyopadhyay, Sanghamitra Chakraborty, Sikim Indian Stat Inst Machine Intelligence Unit Kolkata 700108 India Univ Texas Hlth Sci Ctr Houston Dept Sch Biomed Informat Houston TX 77030 USA Dev Econ Vert Brookings Inst India Ctr New Delhi 110021 India
Large scale multi-omics data analysis and signature prediction have been a topic of interest in the last two decades. While various traditional clustering/correlation-based methods have been proposed, but the overall ... 详细信息
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Explainability techniques for Artificial intelligence models in medical diagnostic
Explainability techniques for Artificial Intelligence models...
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ieee International conference on bioinformatics and Biomedicine (BIBM)
作者: Fedra Rosita Falvo Mario Cannataro Department of Medical and Surgical Sciences Magna Graecia University Catanzaro Italy
The integration of artificial intelligence (AI) techniques into clinical settings presents critical challenges due to the opacity of machine learning models, often referred to as "black boxes": this study ex... 详细信息
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Predicting miRNA-Disease Association Based on Improved Graph Regression
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第6期19卷 3604-3613页
作者: Li, Lei Gao, Zhen Zheng, Chun-Hou Qi, Rong Wang, Yu-Tian Ni, Jian-Cheng Qufu Normal Univ Sch Cyber Sci & Engn Qufu 273165 Shandong Peoples R China Anhui Univ Sch Artifial Intelligence Hefei 230601 Anhui Peoples R China
Recently, as a growing number of associations between microRNAs (miRNAs) and diseases are discovered, researchers gradually realize that miRNAs are closely related to several complicated biological processes and human... 详细信息
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Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第5期19卷 2782-2793页
作者: Zhao, Weizhong Zhang, Jinyong Yang, Jincai Jiang, Xingpeng He, Tingting Cent China Normal Univ Sch Comp Hubei Prov Key Lab Artificial Intelligence & Smar Wuhan 430079 Hubei Peoples R China Cent China Normal Univ Natl Language Resources Monitoring & Res Ctr Netw Wuhan 430079 Hubei Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China Guangxi Normal Univ Guangxi Key Lab Multisource Informat Min & Secur Guilin 541004 Peoples R China
Over the past decades, Chemical-induced Disease (CID) relations have attracted extensive attention in biomedical community, reflecting wide applications in biomedical research and healthcare field. However, prior effo... 详细信息
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Branching Out to Speciation in a Model of Fractionation: The Malvaceae
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2021年 第5期18卷 1875-1884页
作者: Zhang, Yue Zheng, Chunfang Islam, Sindeed Kim, Yong-Min Sankoff, David Univ Ottawa Dept Math & Stat Ottawa ON K1S 2C3 Canada Korea Res Inst Biosci & Biotechnol Korean Bioinformat Ctr Daejeon 34141 South Korea
Fractionation is the genome-wide process of losing one gene per duplicate pair following whole genome doubling (WGD). An important type of evidence for duplicate gene loss is the frequency distribution of similarities... 详细信息
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A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification
A Quantitative Approach for Evaluating Disease Focus and Int...
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2024 ieee International conference on bioinformatics and Biomedicine, BIBM 2024
作者: Tam, Thomas Yu Chow Liang, Litian Chen, Ke Wang, Haohan Wu, Wei University of Pittsburgh Dept. of Health Information Management PittsburghPA United States Carnegie Mellon University Computational Biology Department PittsburghPA United States University of Illinois Urbana-Champaign School of Information Sciences Urbana United States University of Illinois at Urbana-Champaign School of Information Sciences ChampaignIL United States
Deep learning (DL) models have shown significant potential in Alzheimer's Disease (AD) classification. However, understanding and interpreting these models remains challenging, which hinders the adoption of these ... 详细信息
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A computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease
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ieee-ACM TRANSACTIONS ON computational biology AND bioinformatics 2022年 第5期19卷 2613-2622页
作者: Guo, Xiaojuan Chen, Kewei Chen, Yinghua Xiong, Chengjie Su, Yi Yao, Li Reiman, Eric M. Beijing Normal Univ Sch Artificial Intelligence Beijing 100875 Peoples R China Beijing Normal Univ Beijing Key Lab Brain Imaging & Connect Beijing 100875 Peoples R China Banner Alzheimers Inst Phoenix AZ 85006 USA Arizona State Univ Dept Math & Stat Tempe AZ 85281 USA Univ Arizona Coll Med Dept Neurol Tucson AZ 85721 USA Arizona Alzheimers Consortium Phoenix AZ 85014 USA Knight Alzheimers Dis Res Ctr St Louis MO 63130 USA Washington Univ Div Biostat Sch Med St Louis St Louis MO 63110 USA Translat Genom Res Inst Div Neurogen Phoenix AZ 85004 USA Univ Arizona Dept Psychiat Tucson AZ 85721 USA
To quantitatively determining the temporal ordering of abnormal age onsets (AAO) among various biomarkers for Alzheimer's disease (AD), we introduced a computational Monte-Carlo simulation (CMCS) to statistically ... 详细信息
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Machine Learning Based Early Prediction of Parkinson's Disease for Sustainable Healthcare  1st
Machine Learning Based Early Prediction of Parkinson's Disea...
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1st International conference on Sustainable Development through Machine Learning, Artificial intelligence, and IoT, ICSD 2023
作者: Chauhan, Ritu Mehta, Khushi Alankar, Bhavya Kaur, Harleen Artificial Intelligence and IoT Lab Center for Computational Biology and Bioinformatics Amity University UP Noida India Amity Institute of Information Technology Amity University UP Mumbai India Department of Computer Science and Engineering School of Engineering Sciences and Technology Jamia Hamdard New Delhi India
The healthcare sector and technology are working hand-in-hand, which has led researchers to focus on Parkinson's disease. In a world where medical science and technology intertwined, there was a group of researche... 详细信息
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MinimapPool: an improved flexible and efficient parallel algorithm based on minimap2
MinimapPool: an improved flexible and efficient parallel alg...
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ieee International conference on bioinformatics and Biomedicine (BIBM)
作者: Zhenang Wang Yingbo Cui Jiandong Shang Boya Ji Jianan Li Shaoliang Peng School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou China School of Computer National University of Defense Technology Changsha China National Supercomputing Center in Zhengzhou Zhengzhou University Zhengzhou China College of Computer Science and Electronic Engineering Hunan University Changsha China
Third-generation sequencing techniques have achieved major breakthroughs in sequencing long reads and speed. Continuous improvements in sequencing techniques have reduced sequencing costs, and the number of sequencing... 详细信息
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