- 2024
- Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base. BMC Bioinform. 25(1): 62 (2024) - Jiyeon Han, Min Ji Kang, Sanghyuk Lee:
DRSPRING: Graph convolutional network (GCN)-Based drug synergy prediction utilizing drug-induced gene expression profile. Comput. Biol. Medicine 174: 108436 (2024) - Chen Li, Yoshihiro Yamanishi:
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles. AAAI 2024: 13455-13463 - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. Bildverarbeitung für die Medizin 2024: 160-165 - 2023
- Alexei M. Mikhailov, Mikhail F. Karavai, Vladimir A. Sivtsov, Maria A. Kurnikova:
Machine Learning for Diagnosis of Diseases with Complete Gene Expression Profile. Autom. Remote. Control. 84(7): 727-733 (2023) - Softya Sebastian, Swarup Roy, Jugal Kalita:
A generic parallel framework for inferring large-scale gene regulatory networks from expression profiles: application to Alzheimer's disease network. Briefings Bioinform. 24(1) (2023) - Jiaxing Chen, Yen Kaow Ng, Lu Lin, Xianglilan Zhang, Shuaicheng Li:
On triangle inequalities of correlation-based distances for gene expression profiles. BMC Bioinform. 24(1): 40 (2023) - Md Bayazid Hossen, Md Ariful Islam, Md Selim Reza, Md Kaderi Kibria, Md Abu Horaira, Khanis Farhana Tuly, Md. Omar Faruqe, Firoz Kabir, Md. Nurul Haque Mollah:
Robust identification of common genomic biomarkers from multiple gene expression profiles for the prognosis, diagnosis, and therapies of pancreatic cancer. Comput. Biol. Medicine 152: 106411 (2023) - Akash Kishore, Lokeswari Venkataramana, D. Venkata Vara Prasad, Akshaya Mohan, Bhavya Jha:
Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture. Medical Biol. Eng. Comput. 61(11): 2895-2919 (2023) - Artem S. Kasianov, Anna V. Klepikova, Alexey V. Mayorov, Gleb S. Buzanov, Maria D. Logacheva, Aleksey A. Penin:
Interspecific comparison of gene expression profiles using machine learning. PLoS Comput. Biol. 19(1) (2023) - Aimin Li, Siqi Xiong, Junhuai Li, Saurav Mallik, Yajun Liu, Rong Fei, Hongfang Zhou, Guangming Liu:
AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1574-1580 (2023) - Liang Yu, Huan Zhu, Da Dong, Lin Gao:
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks. BIBM 2023: 203-208 - Mohammad Nasir Abdullah, Bee Wah Yap:
Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles. DaSET 2023: 563-576 - David Rojas-Velazquez, Alberto Tonda, Itzel Rodríguez-Guerra, Aletta D. Kraneveld, Alejandro Lopez Rincon:
Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction. EvoApplications@EvoStar 2023: 703-717 - Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks. CoRR abs/2312.15825 (2023) - 2022
- Zhong Chen, You Lu, Bo Cao, Wensheng Zhang, Andrea Edwards, Kun Zhang:
Driver gene detection through Bayesian network integration of mutation and expression profiles. Bioinform. 38(10): 2781-2790 (2022) - Jiaxing Chen, Yen Kaow Ng, Lu Lin, Xianglilan Zhang, Shuaicheng Li:
Correction: On triangle inequalities of correlation-based distances for gene expression profiles. BMC Bioinform. 23-S(3): 571 (2022) - Ania Mesa-Rodríguez, Augusto Gonzalez, Ernesto Estevez-Rams, Pedro A. Valdés-Sosa:
Cancer Segmentation by Entropic Analysis of Ordered Gene Expression Profiles. Entropy 24(12): 1744 (2022) - Yi-Heng Zhu, Chengxin Zhang, Yan Liu, Gilbert S. Omenn, Peter L. Freddolino, Dong-Jun Yu, Yang Zhang:
TripletGO: Integrating Transcript Expression Profiles with Protein Homology Inferences for Gene Function Prediction. Genom. Proteom. Bioinform. 20(5): 1013-1027 (2022) - Mandar Krishnarao Deshmukh, Vinod M. Vaze, Amit K. Gaikwad:
Coyote-Wolf optimization-based deep neural network for cancer classification using gene expression profiles. Int. J. Model. Simul. Sci. Comput. 13(6): 2250058:1-2250058:27 (2022) - Jinding Liu, Fei Yin, Kun Lang, Wencai Jie, Suxu Tan, Rongjing Duan, Shuiqing Huang, Wen Huang:
MetazExp: a database for gene expression and alternative splicing profiles and their analyses based on 53 615 public RNA-seq samples in 72 metazoan species. Nucleic Acids Res. 50(D1): 1046-1054 (2022) - Yuansheng Zhang, Dong Zou, Tongtong Zhu, Tianyi Xu, Ming Chen, Guangyi Niu, Wenting Zong, Rong Pan, Wei Jing, Jian Sang, Chang Liu, Yujia Xiong, Yubin Sun, Shuang Zhai, Huanxin Chen, Wenming Zhao, Jing-Fa Xiao, Yiming Bao, Lili Hao, Zhang Zhang:
Gene Expression Nebulas (GEN): a comprehensive data portal integrating transcriptomic profiles across multiple species at both bulk and single-cell levels. Nucleic Acids Res. 50(D1): 1016-1024 (2022) - Fei Han, Shaojun Zhu, Qinghua Ling, Henry Han, Hailong Li, Xinli Guo, Jiechuan Cao:
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP. Neural Comput. Appl. 34(19): 16325-16339 (2022) - Subhasree Majumder, Yogita Thakran, Vipin Pal, Kuldeep Singh:
Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets From Gene Expression Profiles for Lung Adenocarcinoma. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3469-3481 (2022) - Junrong Song, Wei Peng, Feng Wang:
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2863-2872 (2022) - Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - Nisrine Mouhrim, Alberto Tonda, Itzel Rodríguez-Guerra, Aletta D. Kraneveld, Alejandro Lopez Rincon:
An evolutionary approach to the discretization of gene expression profiles to predict the severity of COVID-19. GECCO Companion 2022: 731-734 - Florian Auer, Zhibek Abdykalykova, Dominik Müller, Frank Kramer:
Adaptation of HL7 FHIR for the Exchange of Patients' Gene Expression Profiles. ICIMTH 2022: 332-335 - Igor Liakh, Sergii Babichev, Bohdan Durnyak, Iryna Gado:
Formation of Subsets of Co-expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy. ISDMCI 2022: 25-41