Multivariate analysis in addressing the challenges of results validation in gene expression data processing

Συγγραφείς: Petrolis, Robertas, Kriščiukaitis, Algimantas, Dragūnaitė, Rugilė, Stakaitis, Rytis, Skiriutė, Daina

Συνεισφορές: Lietuvos sveikatos mokslų universitetas / Lithuanian University of Health Sciences

Θεματικοί όροι: Biofizika / Biophysics (N011), multivariate analysis, gene expression, data analysis applications, Tezės kitame recenzuojamame leidinyje / Theses in other peer-reviewed publication (T1e), Biologija / Biology (N010)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/20.500.12512/254689

Evaluating proximity metrics for gene expression data: A hybrid model integrating data mining and machine learning techniques for disease diagnosis systems

Συγγραφείς: Babichev, Sergii ^{a, b, ⁎}, Yarema, Oleg ^c, Savchenko, Aleksandr ^d

Πηγή: In Biomedical Signal Processing and Control December 2025 110 Part B

A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data

Συγγραφείς: Lu, H., Gao, H., Ye, M., Wang, X.

Πηγή: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 18(3):863-870 Jun, 2021

A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data

Συγγραφείς: Lu, Huijuan, Gao, Huiyun, Ye, Minchao, Yan, Ke, Wang, Xiuhui

Πηγή: 2018 9th International Conference on Information Technology in Medicine and Education (ITME) ITME Information Technology in Medicine and Education (ITME), 2018 9th International Conference on. :15-19 Oct, 2018

Relation: 2018 9th International Conference on Information Technology in Medicine and Education (ITME)

Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data

Συγγραφείς: Islam, Md Tauhidul ¹, Xing, Lei ^{1, 2, ∗}

Πηγή: In Patterns 13 October 2023 4(10)

Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data

Συγγραφείς: Pavel, Alisa ^a, Grønberg, Manja Gersholm ^a, Clemmensen, Line H. ^{a, b, ⁎}

Πηγή: In Computational and Structural Biotechnology Journal 2025 27:2747-2756

Comprehensive analysis of Slc15a3 and Myo1f gene expression in renal carcinoma: Insights from RNA-seq data and validation via qRT-PCR

Συγγραφείς: Nazari, Mahya ^a, Angaji, Seyed Abdolhamid ^{b, ⁎}, Beikzadeh, Behnaz ^c, Narouie, Behzad ^d, Mohammadi, Mahdi ^e

Πηγή: In Human Gene September 2025 45

InterOpt: Improved gene expression quantification in qPCR experiments using weighted aggregation of reference genes

Συγγραφείς: Salimi, Adel ^{1, 3}, Rahmani, Saeid ^{1, 2, 3}, Sharifi-Zarchi, Ali ^{1, 4, ∗}

Πηγή: In iScience 20 October 2023 26(10)

A stem and progenitor cell–derived gene expression signature is prognostic for survival in myelofibrosis

Συγγραφείς: Medeiros, Jessie J. F. ^{1, 2}, Zeng, Andy G. X. ^{1, 2}, Bansal, Suraj ¹, Kim, Hyerin ¹, Chan-Seng-Yue, Michelle ¹, Woo, Tristan ¹, McLeod, Jessica L. ¹, Kothari, Sagar ¹, Arruda, Andrea ¹, Tsui, Hubert ^{3, 4, 5, 6}, Claudio, Jaime O. ¹, Maze, Dawn ¹, Sibai, Hassan ¹, Minden, Mark D. ^{1, 7, 8}, Kennedy, James A. ^{8, 9}, Famulare, Christopher ¹⁰, Rampal, Raajit K. ¹¹, Wang, Jean C. Y. ^{1, 7, 8}, Dick, John E. ^{1, 2}, Gupta, Vikas ^{1, 7, 8, ∗}

Πηγή: In Blood 7 May 2026 147(19):2238-2251

A practical guide to linking brain-wide gene expression and neuroimaging data

Συγγραφείς: Arnatkevic̆iūtė, Aurina ^{a, ∗}, Fulcher, Ben D. ^{a, b}, Fornito, Alex ^a

Πηγή: In NeuroImage 1 April 2019 189:353-367

Identifying novel gene dysregulation associated with opioid overdose death: a meta-analysis of differential gene expression in human prefrontal cortex.

Συγγραφείς: Carter JK; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA. jcarter@rti.org., Quach BC; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA., Willis C; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA., Minto MS; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA., Hancock DB; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA., Montalvo-Ortiz J; Department of Psychiatry, Division of Human Genetics, Yale School of Medicine, New Haven, CT, USA.; Clinical Neurosciences Division, National Center of PTSD, VA CT Healthcare System, West Haven, CT, USA., Corradin O; Whitehead Institute Biomedical Research, Cambridge, MA, USA., Logan RW; Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA.; Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, MA, USA., Walss-Bass C; Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.; MD Anderson Cancer Center University of Texas Health Science Center at Houston Graduate School of Biomedical Sciences, Houston, TX, USA., Maher BS; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Johnson EO; Omics, Epidemiology, and Analytics Program, RTI International, Research Triangle Park, Durham, NC, USA. ejohnson@rti.org.; Fellow Program, RTI International, Research Triangle Park, Durham, NC, USA. ejohnson@rti.org.

Συλλογικό Έργο: PGC-SUD Epigenetics Working Group

Πηγή: Translational psychiatry [Transl Psychiatry] 2026 May 08; Vol. 16 (1). Date of Electronic Publication: 2026 May 08.

Τύπος έκδοσης: Journal Article; Meta-Analysis

Στοιχεία περιοδικού: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN: 2158-3188 (Electronic) Linking ISSN: 21583188 NLM ISO Abbreviation: Transl Psychiatry Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Prefrontal Cortex*/metabolism , Opiate Overdose*/genetics , Opiate Overdose*/mortality , Gene Expression Regulation*, Humans ; Transcriptome ; Gene Expression Profiling

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Συγγραφείς: Hongmei Zhang

Resource Type: eBook.

Θέματα: Gene expression--Data processing, Gene expression--Statistical methods, DNA--Methylation, R (Computer program language), Epigenetics--Statistical methods

Categories: SCIENCE / Bioinformatics, COMPUTERS / Data Science / Data Analytics

Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review

Συγγραφείς: Rosati, Diletta ^{a, b, c, 1}, Palmieri, Maria ^{b, c, 1}, Brunelli, Giulia ^e, Morrione, Andrea ^f, Iannelli, Francesco ^{d, 2}, Frullanti, Elisa ^{b, c, ⁎, 2}, Giordano, Antonio ^{a, f, ⁎⁎, 2}

Πηγή: In Computational and Structural Biotechnology Journal December 2024 23:1154-1168

Quantitative cytokine gene expression in human tonsils at excision and during histoculture assessed by standardized and calibrated real-time PCR and novel data processing

Συγγραφείς: Bonanomi, Athos, Kojic, Dejan, Giger, Bettina, Rickenbach, Zaira, Jean-Richard-Dit-Bressel, Louis, Berger, Christoph, Niggli, Felix K, Nadal, David ^*

Πηγή: In Journal of Immunological Methods 2003 283(1):27-43

Transcriptomics secondary analysis of severe human infection with SARS-CoV-2 identifies gene expression changes and predicts three transcriptional biomarkers in leukocytes

Συγγραφείς: Clancy, Jeffrey, Hoffmann, Curtis S., Pickett, Brett E. ^⁎

Πηγή: In Computational and Structural Biotechnology Journal 2023 21:1403-1413

Gene Expression Data Analysis : A Statistical and Machine Learning Perspective

Συγγραφείς: Pankaj Barah, Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita

Resource Type: eBook.

Θέματα: Machine learning, Gene expression--Data processing, Gene expression--Statistical methods

Categories: SCIENCE / Bioinformatics, SCIENCE / Life Sciences / Molecular Biology, COMPUTERS / Data Science / Machine Learning

Unifying RNA-seq data using meta-analysis; bioinformatics frameworks and application for plant genomics

Συγγραφείς: Panahi, Bahman ^{a, ⁎}, Hamid, Rasmieh ^b, Jacob, Feba ^c, Jalaly, Hossein Mohammadzadeh ^a

Πηγή: In Current Plant Biology July 2025

A generic Transcriptomics Reporting Framework (TRF) for ‘omics data processing and analysis

Συγγραφείς: Gant, Timothy W. ^{a, ∗}, Sauer, Ursula G. ^b, Zhang, Shu-Dong ^c, Chorley, Brian N. ^d, Hackermüller, Jörg ^e, Perdichizzi, Stefania ^f, Tollefsen, Knut E. ^g, van Ravenzwaay, Ben ^h, Yauk, Carole ⁱ, Tong, Weida ^j, Poole, Alan ^k

Πηγή: In Regulatory Toxicology and Pharmacology December 2017 91 Supplement 1:S36-S45

FishExp: A comprehensive database and analysis platform for gene expression and alternative splicing of fish species

Συγγραφείς: Tan, Suxu ^a, Wang, Wenwen ^c, Jie, Wencai ^d, Liu, Jinding ^{a, b, ⁎}

Πηγή: In Computational and Structural Biotechnology Journal 2022 20:3676-3684

Avoiding pitfalls in gene (co)expression meta-analysis

Συγγραφείς: Östlund, Gabriel ^{a, b}, Sonnhammer, Erik L.L. ^{a, b, c, ⁎}

Πηγή: In Genomics January 2014 103(1):21-30