Batch effect removal methods for microarray gene expression data integration: a survey
Lazar, C., Meganck, S., Taminau, J., Steenhoff, D., Coletta, A., Molter, C., Weiss-Solis, D. Y., Duque, R. +2 more·2013·Briefings in Bioinformatics
Cited by (334)
Items 101–200 of 334
- Identification and evaluation of circulating small extracellular vesicle microRNAs as diagnostic biomarkers for patients with indeterminate pulmonary nodulesDi Zheng, Yuming Zhu, Jiyang Zhang, Wei Zhang, Huizhen Wang, Hao Chen, Chunyan Wu, Jian Ni, Xiaoya Xu, Baoning Nian et al. · 2022 · Journal of Nanobiotechnology
- Identifying differentially expressed genes from cross-site integrated data based on relative expression orderingsHao Cai, Xiangyü Li, Jing Li, Qirui Liang, Weicheng Zheng, Qingzhou Guan, Zheng Guo, Xianlong Wang · 2018 · International Journal of Biological Sciences
- reComBat: batch-effect removal in large-scale multi-source gene-expression data integrationAdamer, Michael F, Brüningk, Sarah C, Tejada-Arranz, Alejandro, Estermann, Fabienne, Basler, Marek, Borgwardt, Karsten · 2022 · Bioinformatics Advances
- An integrative analysis system of gene expression using self-paced learning and SCAD-NetHaihui Huang, Yong Qi Liang · 2019 · Expert Systems with Applications
- Unlocking the potential of microRNAs: Machine learning identifies key biomarkers for myocardial infarction diagnosisSamadishadlou, Mehrdad, Rahbarghazi, Reza, Piryaei, Zeynab, Esmaeili, Mahdad, Avcı, Çığır Biray, Bani, Farhad, Kavousi, Kaveh · 2023 · Cardiovascular Diabetology
- Biomarker Discovery for Immunotherapy of Pituitary Adenomas: Enhanced Robustness and Prediction Ability by Modern Computational ToolsQingxia Yang, Yunxia Wang, Song Zhang, Jing Tang, Fengcheng Li, Jiayi Yin, Yi Li, Jianbo Fu, Bo Li, Yongchao Luo et al. · 2019 · International Journal of Molecular Sciences
- Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of originAgustín González-Reymúndez, Ana Ines Vazquez · 2020 · Scientific Reports
- BiCoN: network-constrained biclustering of patients and omics dataOlga Lazareva, Hoan Van Do, Stefan Canzar, Kevin Yuan, Jan Baumbach, David B. Blumenthal, Paolo Tieri, Tim Kacprowski, Markus List · 2020 · Bioinformatics
- Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell CarcinomaVinay Randhawa, Vishal Acharya · 2015 · BMC Medical Genomics
- Endogenous Retrovirus Transcript Levels Are Associated with Immunogenic Signatures in Multiple Metastatic Cancer TypesJames Thomas Topham, Emma Titmuss, Erin Pleasance, Laura M. Williamson, Joanna M. Karasinska, Luka Culibrk, Michael K.C. Lee, Shehara Ramyalini Mendis, Robert Edward Denroche, Gun-Ho Jang et al. · 2020 · Molecular Cancer Therapeutics
- BatchServer: A Web Server for Batch Effect Evaluation, Visualization, and CorrectionTiansheng Zhu, Rui Sun, Fangfei Zhang, Guo‐Bo Chen, Xiao Yi, Guan Ruan, Chunhui Yuan, Shuigeng Zhou, Tiannan Guo · 2020 · Journal of Proteome Research
- Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic DataKarin Schork, Katharina Podwojski, Michael Turewicz, Christian Stephan, Martin Eisenacher · 2021 · Methods in molecular biology
- Plasma Fibrinogen and sP-Selectin are Associated with the Risk of Lung Cancer in a Prospective StudyMirja Grafetstätter, Anika Hüsing, Sandra González Maldonado, Disorn Sookthai, Theron Johnson, Laura Pletsch‐Borba, Verena Andrea Katzke, Michael Hoffmeister, Peter Bugert, Rudolf Kaaks et al. · 2019 · Cancer Epidemiology Biomarkers & Prevention
- Single-center versus multi-center data sets for molecular prognostic modeling: a simulation studyDaniel Samaga, Roman Hornung, Herbert Braselmann, Julia Heß, Horst F. Zitzelsberger, Claus Belka, Anne‐Laure Boulesteix, Kristian Unger · 2020 · Radiation Oncology
- Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analysesElisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore · 2020 · BMC Bioinformatics
- WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch informationKui Deng, Falin Zhao, Zhiwei Rong, Lei Cao, Liuchao Zhang, Kang Li, Yan Hou, Zheng‐Jiang Zhu · 2021 · Metabolomics
- Detecting hidden batch factors through data-adaptive adjustment for biological effectsHaidong Yi, Ayush T. Raman, Han Zhang, Genevera I. Allen, Zhandong Liu · 2017 · Bioinformatics
- Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysisYibing Guan, Fangshi Xu, Yiyuan Wang, Juanhua Tian, Ziyan Wan, Zhenlong Wang, Tie Chong · 2020 · BMC Medical Genomics
- Using Machine Learning to Identify Biomarkers Affecting Fat Deposition in Pigs by Integrating Multisource Transcriptome InformationHuatao Liu, Kai Xing, Yifan Jiang, Yibing Liu, Chuduan Wang, Xiangdong Ding · 2022 · Journal of Agricultural and Food Chemistry
- RRmix: A method for simultaneous batch effect correction and analysis of metabolomics data in the absence of internal standardsStephen M. Salerno, Mahya Mehrmohamadi, Maria V. Liberti, Muting Wan, Martin T. Wells, James G. Booth, Jason W. Locasale · 2017 · PLoS ONE
- Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot StudyChenyi Xie, Yihuai Hu, Joshua W. K. Ho, Lujun Han, Hong Yang, Jing Wen, Ka On Lam, Yhi Wong, Simon Ying-Kit Law, Keith Wan-Hang Chiu et al. · 2021 · Cancers
- Assessing the Effectiveness of Direct Data Merging Strategy in Long-Term and Large-Scale PharmacometabonomicsXuejiao Cui, Qingxia Yang, Bo Li, Jing Tang, Xiaoyu Zhang, Shuang Li, Fengcheng Li, Jie Hu, Yan Lou, Yunqing Qiu et al. · 2019 · Frontiers in Pharmacology
- Transcriptome Signature Reversion as a Method to Reposition Drugs Against Cancer for Precision OncologyKarel K. M. Koudijs, Anton G.T. Terwisscha van Scheltinga, Stefan Böhringer, Kirsten J. M. Schimmel, Henk‐Jan Guchelaar · 2019 · The Cancer Journal
- An integrated workflow for biomarker development using microRNAs in extracellular vesicles for cancer precision medicineYu Chen, Tan Wu, Zhongxu Zhu, Hao Huang, Liang N. Zhang, Ajay Goel, Mengsu Yang, Xin Wang · 2021 · Seminars in Cancer Biology
- Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approachesFadoua Ben Azzouz, Bertrand Michel, Hamza Lasla, Wilfried Gouraud, Anne-Flore François, Fabien Girka, Théo Lecointre, Catherine Guérin‐Charbonnel, Philippe Paul Juin, Mario Campone et al. · 2020 · Computers in Biology and Medicine
- A qualitative signature for predicting pathological response to neoadjuvant chemoradiation in locally advanced rectal cancersYou Guo, Weizhong Jiang, Lu Ao, Kai Song, Huxing Chen, Qingzhou Guan, Qiao Gao, Jun Cheng, Huaping Liu, Xianlong Wang et al. · 2018 · Radiotherapy and Oncology
- Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression seriesJuan Manuel Gálvez, Daniel Castillo-Secilla, Luis Javier Herrera, Belén San Román, Olga Valenzuela, Francisco Manuel Ortuño, Ignacio Rojas · 2018 · PLoS ONE
- An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder CancerMichail Sarafidis, George Ι. Lambrou, Vassilis Zoumpourlis, Dimitris Koutsouris · 2022 · Cancers
- Robustifying genomic classifiers to batch effects via ensemble learningYuqing Zhang, Prasad Patil, William Evan Johnson, Giovanni Parmigiani · 2020 · Bioinformatics
- Measuring the Effect of Inter-Study Variability on Estimating Prediction ErrorShuyi Ma, Jaeyun Sung, Andrew T. Magis, Yuliang Wang, Donald Geman, Nathan D. Price · 2014 · PLoS ONE
- A robust blood gene expression-based prognostic model for castration-resistant prostate cancerLi Wang, Yixuan Gong, Uma Chippada-Venkata, Matthias Michael Heck, Margitta M. Retz, Roman Nawroth, Matthew D. Galsky, Che‐Kai Tsao, Eric E. Schadt, Johann Sebastian De Bono et al. · 2015 · BMC Medicine
- Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson’s disease using two-layer hybrid feature selectionJisha Augustine, A. S. Jereesh · 2022 · Gene
- A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expressionHaihui Huang, Hao Rao, Rui Miao, Yong Qi Liang · 2022 · BMC Bioinformatics
- Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)Elisa Ferrari, Alessandra Retico, Davide Bacciu · 2020 · Artificial Intelligence in Medicine
- Removing the Influence of Group Variables in High-Dimensional Predictive ModellingEmanuele Aliverti, Kristian Lum, James E. Johndrow, David B. Dunson · 2021 · Journal of the Royal Statistical Society Series A (Statistics in Society)
- A Final Frontier in Environment-Genome Interactions? Integrated, Multi-Omic Approaches to Predictions of Non-Communicable Disease RiskAlexandra J. Noble, Rachel Violet Purcell, Alex T. Adams, Ying Ka Lam, Paulina M. Ring, Jessica R. Anderson, Amy J. Osborne · 2022 · Frontiers in Genetics
- Quiescence enables unrestricted cell fate in naive embryonic stem cellsLe Tran Phuc Khoa, Wentao Yang, Mengrou Shan, Li Zhang, Fengbiao Mao, Bo O. Zhou, Qiang Li, Rebecca M. Malcore, Clair E. Harris, Lili Zhao et al. · 2024 · Nature Communications
- A unique circulating microRNA pairs signature serves as a superior tool for early diagnosis of pan-cancerPeng Wu, Dongyu Li, Chaoqi Zhang, Bing Dai, Xiaoya Tang, Jingjing Liu, Yue Wu, Xingwu Wang, Ao Shen, Jiapeng Zhao et al. · 2024 · Cancer Letters
- Biomarkers of Vascular Injury and Type 2 Diabetes: A Prospective Study, Systematic Review and Meta-AnalysisLaura Pletsch‐Borba, Cora Watzinger, Renée T. Fortner, Verena Andrea Katzke, Lukas Schwingshackl, Solomon A. Sowah, Anika Hüsing, Theron Johnson, Marie-Luise Groß, Sandra González Maldonado et al. · 2019 · Journal of Clinical Medicine
- Network meta-analysis correlates with analysis of merged independent transcriptome expression dataChristine Winter, Robin Kosch, Martin Ludlow, Albert D. M. E. Osterhaus, Klaus Jung · 2019 · BMC Bioinformatics
- Working Towards a Blood-Derived Gene Expression Biomarker Specific for Alzheimer’s DiseaseHamel Patel, Raquel Iniesta, Daniel R. Stahl, Richard Dobson, Stephen Newhouse · 2020 · Journal of Alzheimer s Disease
- HDMC: a novel deep learning-based framework for removing batch effects in single-cell RNA-seq dataXiao Wang, Jia Wang, Han Zhang, Shenwei Huang, Yanbin Yin · 2021 · Bioinformatics
- Pathway importance by graph convolutional network and Shapley additive explanations in gene expression phenotype of diffuse large B-cell lymphomaJin Hayakawa, Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe · 2022 · PLoS ONE
- DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing GenesJuan Antonio Villatoro-García, Jordi Martorell‐Marugán, Daniel Toro Dominguez, Yolanda Román Montoya, Pedro Femia, Pedro Carmona‐Sáez · 2022 · Mathematics
- Repeatability of radiomics studies in colorectal cancer: a systematic reviewYing Liu, Xiaoqin Wei, Feng Xu, Yan Liu, Guiling Feng, Yong Du · 2023 · BMC Gastroenterology
- Integration of flow studies for robust selection of mechanoresponsive genesNataly Maimari, Ryan M. Pedrigi, Alessandra Russo, Krysia B. Broda, Rob Krams · 2016 · Thrombosis and Haemostasis
- Influence of batch effect correction methods on drug induced differential gene expression profilesWei Zhong Zhou, Karel K. M. Koudijs, Stefan Böhringer · 2019 · BMC Bioinformatics
- Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEELisa-Katrin Schätzle, Ali Hadizadeh Esfahani, Andreas Schuppert · 2020 · PLoS Computational Biology
- Immune-Signatures for Lung Cancer Diagnostics: Evaluation of Protein Microarray Data Normalization StrategiesStefanie Brezina, Regina Soldo, Roman Kreuzhuber, Philipp Hofer, Andrea Gsur, Andreas Weinhaeusel · 2015 · Microarrays
- A simplified machine learning model utilizing platelet-related genes for predicting poor prognosis in sepsisYingying Diao, Yan Zhao, Xinyao Li, Baoyue Li, Ran Huo, Xiaoxu Han · 2023 · Frontiers in Immunology
- Predicting the flavor potential of green coffee beans with machine learning-assisted visible/near-infrared hyperspectral imaging (Vis-NIR HSI): Batch effect removal and few-shot learning frameworkMinping Wu, Zhuangwei Shi, Haiyu Zhang, Rui Wang, Jiayi Chu, Shao‐Quan Liu, Heming Zhang, Hai Bi, Weihua Huang, Rui Hong Zhou et al. · 2025 · Food Control
- A reproducible approach to high-throughput biological data acquisition and integrationDaniela Börnigen, Yo Sup Moon, Ali Rahnavard, Levi Waldron, Lauren J. McIver, Afrah Shafquat, Eric A. Franzosa, Larissa Miropolsky, Christopher J. Sweeney, Xochitl C. Morgan et al. · 2015 · PeerJ
- Sources of High Variance between Probe Signals in Affymetrix Short Oligonucleotide MicroarraysRoman Jaksik, Michał Marczyk, Joanna Polańska, Joanna Rzeszowska‐Wolny · 2013 · Sensors
- Integrative analysis of pathway deregulation in obesityFrancesc Font-Clos, Stefano Zapperi, Caterina A. M. La Porta · 2017 · npj Systems Biology and Applications
- Biomarkers of vascular injury in relation to myocardial infarction risk: A population-based studyLaura Pletsch‐Borba, Mirja Grafetstätter, Anika Hüsing, Sandra González Maldonado, Manja Kloß, Marie-Luise Groß, Theron Johnson, Disorn Sookthai, Peter Bugert, Rudolf Kaaks et al. · 2019 · Scientific Reports
- Identification of potential dilated cardiomyopathy-related targets by meta-analysis and co-expression analysis of human RNA-sequencing datasetsZixun Yuan, Nobuyuki Murakoshi, Dongzhu Xu, Kazuko Tajiri, Yuta Okabe, Kazuhiro Aonuma, Yoshiko Murakata, Siqi Li, Zonghu Song, Yuzuno Shimoda et al. · 2022 · Life Sciences
- The relative resistance of children to sepsis mortality: from pathways to drug candidatesRose Bernadette Joachim, Gabriel M. Altschuler, John N. Hutchinson, Hector R. Wong, Winston A Hide, Lester Kobzik · 2018 · Molecular Systems Biology
- Pre‐diagnostic plasma concentrations of Fibrinogen, sGPIIb/IIIa, sP‐selectin, sThrombomodulin, Thrombopoietin in relation to cancer risk: Findings from a large prospective studyMirja E. Graf, Disorn Sookthai, Theron Johnson, Ruth Schübel, Sandra González Maldonado, Laura Pletsch‐Borba, Verena Andrea Katzke, Peter Bugert, Michael Hoffmeister, Rudolf Kaaks et al. · 2018 · International Journal of Cancer
- Elevated expression of glycolytic genes as a prominent feature of early-onset preeclampsia: insights from integrative transcriptomic analysisJie He, Huan Yang, Zheng Liu, Miaomiao Chen, Ying Ye, Yuelan Tao, Shuhong Li, Jie Fang, Jiacheng Xu, Xiafei Wu et al. · 2023 · Frontiers in Molecular Biosciences
- Serum-based biomarkers associated with lung cancer risk and cause-specific mortality in the German randomized Lung Cancer Screening Intervention (LUSI) trialFrancisco O. Cortés-Ibáñez, Theron Johnson, Mario Mascalchi, Verena Andrea Katzke, Stefan Delorme, Rudolf Kaaks · 2023 · Translational Lung Cancer Research
- Platform-independent approach for cancer detection from gene expression profiles of peripheral blood cellsYadong Yang, Tāo Zhāng, Rudan Xiao, Xiaopeng Hao, Huiqiang Zhang, Hongzhu Qu, Bingbing Xie, Tao Wang, Xiangdong Fang · 2019 · Briefings in Bioinformatics
- Variation of RNA Quality and Quantity Are Major Sources of Batch Effects in Microarray Expression DataMario Fasold, Hans Binder · 2014 · Microarrays
- Deep Learning Framework for Integrating Multibatch Calibration, Classification, and Pathway ActivitiesJingyang Niu, Wei Lin Xu, Dongming Wei, Kun Qian, Qian Wang · 2022 · Analytical Chemistry
- Pooled analysis of frontal lobe transcriptomic data identifies key mitophagy gene changes in Alzheimer's disease brainTaoyu Mei, Yuan Li, Anna Orduña Dolado, Zhiquan Li, Robin Andersson, L. Berliocchi, L. Rasmussen · 2023 · Frontiers in Aging Neuroscience
- Between-array normalization for 450K dataJonathan Alexander Heiss, Hermann Brenner · 2015 · Frontiers in Genetics
- When no answer is better than a wrong answer: A causal perspective on batch effectsEric Bridgeford, Michael Powell, Gregory Kiar, Stephanie Noble, Jaewon Chung, Sambit Panda, Ross Lawrence, Ting Xu, Michael Peter Milham, Brian S. Caffo et al. · 2025 · Imaging Neuroscience
- A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression dataLulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang · 2025 · PLoS Computational Biology
- Deep learning uncovers distinct behavior of rice network to pathogens responseRavi Shekhar Kumar, Abhishek Khatri, Vishal Acharya · 2022 · iScience
- Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomicsJingyang Niu, Jing Yang, Yuyu Guo, Kun Qian, Qian Wang · 2022 · BMC Bioinformatics
- Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniquesNassib Abdallah, Jean-Marie Marion, Clovis Tauber, Thomas Carlier, Mathieu Hatt, Pierre E. Chauvet · 2023 · Scientific Reports
- An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasetsFlorian Schmidt, Markus List, Engin Cukuroglu, Sebastian Köhler, Jonathan Göke, Marcel H. Schulz · 2018 · Bioinformatics
- Merging microarray studies to identify a common gene expression signature to several structural heart diseasesOlga Fajarda, Sara Duarte-Pereira, Raquel Monteiro Silva, José Luís Oliveira · 2020 · BioData Mining
- Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicineDaniel Bottomly, Peter Ryabinin, Jeffrey W Tyner, Bill H. Chang, Marc Loriaux, Brian J. Druker, Shannon K. McWeeney, Beth Wilmot · 2013 · Genome Medicine
- Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s diseaseLoo, Rebecca Ting Jiin, Pavelka, Lukas, Mangone, Graziella, Khoury, Fouad, Vidailhet, Marie, Corvol, Jean-Christophe, Glaab, Enrico, On behalf of the NCER-PD Consortium, Acharya, Geeta, Aguayo, Gloria et al. · 2025 · npj Digital Medicine
- Optimization and validation of voxel size-related radiomics variability by combatting batch effect harmonization in pulmonary nodules: a phantom and clinical studyYaoyao Zhuo, Jie Shen, Yi Zhan, Ye Tian, Mingfeng Yu, Shuyi Yang, Peiyan Ye, Fan Li, Zhiyong Zhang, Fei Shan · 2023 · Quantitative Imaging in Medicine and Surgery
- Higher-order correction of persistent batch effects in correlation networksSoel Micheletti, Daniel Schlauch, John F Quackenbush, Marouen Ben Guebila · 2024 · Bioinformatics
- Comprehensive transcriptomic analysis of long non-coding RNAs in bovine ovarian follicles and early embryosPengmin Wang, Éric R. Paquet, Claude Robert · 2023 · PLoS ONE
- ANOVA-HD: Analysis of variance when both input and output layers are high-dimensionalGustavo de los Campos, Torsten Pook, Agustín González-Reymúndez, Henner Simianer, George I. Mias, Ana Ines Vazquez · 2020 · PLoS ONE
- Conducting gene set tests in meta‐analyses of transcriptome expression dataRobin Kosch, Klaus Jung · 2018 · Research Synthesis Methods
- The prognostic and clinical significance of IFI44L aberrant downregulation in patients with oral squamous cell carcinomaDeming Ou, Ying Wu · 2021 · BMC Cancer
- In search of the ratio of miRNA expression as robust biomarkers for constructing stable diagnostic models among multi-center dataCuidie Ma, Yonghao Zhang, Rui Ding, Han Chen, Xudong Wu, Lida Xu, Changyuan Yu · 2024 · Frontiers in Genetics
- Identification of population-level differentially expressed genes in one-phenotype dataJiajing Xie, Yang Xu, Haifeng Chen, Meirong Chi, Jun He, Meifeng Li, Hui Liu, Jie Xia, Qingzhou Guan, Zheng Guo et al. · 2020 · Bioinformatics
- Identification of key biomarkers for thyroid cancer by integrative gene expression profilesJinyi Tian, Yizhou Bai, Anyang Liu, Bin Luo · 2021 · Experimental Biology and Medicine
- The utility of a standardised breath sampler in school age children within a real-world prospective studyK Bhavra, Michael J. Wilde, Matthew Richardson, Rebecca L. Cordell, Paul Thomas, Bo Zhao, Luke Bryant, Christopher Edward Brightling, Wadah Ibrahim, Dahlia Salman et al. · 2022 · Journal of Breath Research
- Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder ModelLingtao Su, Chunhui Xu, Shuai Zeng, Li Su, Trupti Joshi, Gary S. Stacey, Dong He Xu · 2022 · Frontiers in Plant Science
- Reassessment of Reliability and Reproducibility for Triple-Negative Breast Cancer SubtypingXinjian Yu, Yongjing Liu, Ming Chen · 2022 · Cancers
- Is NF2 a Key Player of the Differentially Expressed Gene Between Spinal Cord Ependymoma and Intracranial Ependymoma?Ki Tae Kim, Chang-Hyun Lee, Chun Kee Chung, Ju Han Kim · 2018 · World Neurosurgery
- Independent Component Analysis to Remove Batch Effects from Merged Microarray DatasetsEmilie Renard, Samuel Branders, P.-A. Absil · 2016 · Lecture notes in computer science
- A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic DataHamel Patel, Richard Dobson, Stephen Newhouse · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
- Artificial Intelligence Powered Biomarker Discovery: A Large-Scale Analysis of 236 Studies Across 19 Therapeutic Areas and 147 DiseasesAhtisham Fazeel Abbasi, Shiza Naveed, Muhammad Nabeel Asim, Muhammad Sajjad, Sebastian J. Vollmer, Andreas Dengel · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
- Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression dataKihoon Cha, Taeho Hwang, Kimin Oh, Gwan‐Su Yi · 2015 · BMC Medical Informatics and Decision Making
- Quantitative analysis of high‐throughput biological dataHsueh‐Fen Juan, Hsuan‐Cheng Huang · 2023 · Wiley Interdisciplinary Reviews Computational Molecular Science
- Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experimentsPatrick M. Carry, Tim Vigers, Lauren A. Vanderlinden, Carson L. Keeter, Fran Dong, Teresa Buckner, ELIZABETH M. LITKOWSKI, Ivana V. Yang, Jill M. Norris, Katerina J. Kechris · 2023 · BMC Bioinformatics
- Computational analysis of five neurodegenerative diseases reveals shared and specific genetic lociFrancesca Maselli, Salvatore D’Antona, Mattia Utichi, Matteo Arnaudi, Isabella Castiglioni, Danilo Porro, Elena Papaleo, Paolo Gandellini, Claudia Cava · 2023 · Computational and Structural Biotechnology Journal
- Interpretable Machine Learning for Cross‐Cohort Prediction of Motor Fluctuations in Parkinson's DiseaseRebecca Ting Jiin Loo, Lukas Pavelka, Graziella Mangone, Fouad Khoury, Marie Vidailhet, Jean‐Christophe Corvol, Rejko Krüger, Enrico Glaab · 2025 · Movement Disorders
- Identification of functionally methylated regions based on discriminant analysis through integrating methylation and gene expression dataYuanyuan Zhang, Junying Zhang · 2015 · Molecular BioSystems
- GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of GenesCosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, David Y. Weiss Solís, Colin Molter, Robin Duqué, Hugues Bersini, Ann Nowé · 2013 · IEEE Transactions on Computational Biology and Bioinformatics
- Genetic investigation into ethnic disparity in polycystic ovarian syndromeShuxia Li, Dongyi Zhu, Hongmei Duan, Qihua Tan · 2013 · Gynecological Endocrinology
- Integrated multiomics analyses unveil the implication of a costimulatory molecule score on tumor aggressiveness and immune evasion in breast cancer: A large-scale study through over 8,000 patientsDong Zhang, Yingnan Wang, Faming Zhao, Qifeng Yang · 2023 · Computers in Biology and Medicine
- Batch correction of genomic data in chronic fatigue syndrome using CMA-ESAlejandro Lopez‐Rincon, Aletta D. Kraneveld, Alberto Paolo Tonda · 2020 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)