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

Applying Biclustering Technique and Gene Ontology Analysis for Gene Expression Data Processing

Συγγραφείς: Sergii Babichev, Maksym Korobchynskyi, Myhailo Rudenko, Hanna Batenko

Σύνδεσμος πρόσβασης: https://ceur-ws.org/Vol-3675/paper2.pdf

A Hybrid Inductive Model for Gene Expression Data Processing Using Spectral Clustering

Συγγραφείς: Sergii Babichev, Oleg Yarema, Ihor Liakh

Σύνδεσμος πρόσβασης: https://ceur-ws.org/Vol-3892/paper2.pdf

Current State of the Problem of Gene Expression Data Processing and Extraction to Solve the Reverse Engineering Tasks in the Field of Bioinformatics

Συγγραφείς: Sergii Babichev, Mykhailo Yasinskyi, Lyudmyla Yasinska-Damri, Yurii Ratushniak, Volodymyr Lytvynenko

Σύνδεσμος πρόσβασης: https://ceur-ws.org/Vol-2853/paper3.pdf

Privacy-Preserving Techniques for Genotype-Phenotype Association Studies

Συγγραφείς: Choi, Yoolim

Θεματικοί όροι: Bioinformatics, Biometry, Genomics, Phenotype, Personalized medicine, Machine learning, Gene expression--Data processing, Genetic transcription, Cryptography

Διαθεσιμότητα: https://doi.org/10.7916/159w-bw62

DEvis: an R package for aggregation and visualization of differential expression data

Συγγραφείς: Price, Adam, Caciula, Adrian, Guo, Cheng, Lee, Bohyun, Morrison, Juliet, Rasmussen, Angela, Lipkin, W. I., Jain, Komal

Θεματικοί όροι: Nucleotide sequence, Gene expression, Gene expression--Data processing

Διαθεσιμότητα: https://doi.org/10.7916/ppp7-hc63

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

DEvis: an R package for aggregation and visualization of differential expression data

Συγγραφείς: Adam Price, Adrian Caciula, Cheng Guo 0010, Bohyun Lee, Juliet Morrison, Angela Rasmussen, W. Ian Lipkin, Komal Jain

Πηγή: BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-7 (2019)
BMC Bioinformatics, vol 20, iss 1

Θεματικοί όροι: 0301 basic medicine, Bioinformatics, QH301-705.5, Computer applications to medicine. Medical informatics, Bioinformatics and Computational Biology, Integration, R858-859.7, Mathematical sciences, Gene expression--Data processing, Mathematical Sciences, Data Aggregation, 03 medical and health sciences, Differential expression, Information and Computing Sciences, Humans, RNA-Seq, Biology (General), Transcriptomics, Visualization, 0303 health sciences, Sequence Analysis, RNA, Gene Expression Profiling, Reproducibility of Results, Project Management, Biological Sciences, Data aggregation, Biological sciences, Information and computing sciences, RNA, Gene expression, Transcriptome, Nucleotide sequence, Sequence Analysis, Software

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-2702-z
https://pubmed.ncbi.nlm.nih.gov/30832568
https://doaj.org/article/1ebce512dcea48f2acdb36ae5250b2b4
https://escholarship.org/content/qt4sv7w8kt/qt4sv7w8kt.pdf
https://escholarship.org/uc/item/4sv7w8kt

Low dimensional structure in single cell data

Συγγραφείς: Kunes, Russell Allen Zhang

Θεματικοί όροι: Statistics, Biostatistics, RNA--Data processing, Gene expression--Data processing, Latent variables

Διαθεσιμότητα: https://doi.org/10.7916/96ay-zy30

Accelerated parallel algorithm for gene network reverse engineering

Συγγραφείς: He, Jing, Zhou, Zhou, Reed, Michael K., Califano, Andrea

Θεματικοί όροι: Parallel programming (Computer science), Gene regulatory networks, Gene expression--Data processing, Systems biology

Relation: https://doi.org/10.7916/D8DZ0MZD

Διαθεσιμότητα: https://doi.org/10.7916/D8DZ0MZD

Accelerated parallel algorithm for gene network reverse engineering

Συγγραφείς: Jing He, Zhou Zhou, Michael Reed, Andrea Califano

Πηγή: BMC Syst Biol

Θεματικοί όροι: 0301 basic medicine, 0303 health sciences, Time Factors, Research, Forkhead Box Protein M1, Computational Biology, Parallel programming (Computer science), Gene expression--Data processing, Regulon, Gene regulatory networks, 03 medical and health sciences, Computer Graphics, Gene Regulatory Networks, Systems biology, Algorithms

Σύνδεσμος πρόσβασης: https://bmcsystbiol.biomedcentral.com/track/pdf/10.1186/s12918-017-0458-5
https://pubmed.ncbi.nlm.nih.gov/28950860

Differential expression of discriminative markers in matched invasion fronts and tumour buds in CRC ; 47P Differential expression of discriminative markers in matched invasion fronts and tumour buds in CRC

Συγγραφείς: Grech, Laura, Debattista, Jessica, Pisani, D., Grech, Godfrey

Θεματικοί όροι: Colon (Anatomy) -- Cancer -- Prognosis, Tumor markers -- Analysis, Tumors -- Classification, Gene expression -- Data processing

Relation: Grech, L., Debattista, J., Pisani, D., & Grech, G. (2023). 47P Differential expression of discriminative markers in matched invasion fronts and tumour buds in CRC. ESMO Open, 8(1), doi:10.1016/j.esmoop.2023.101857; https://www.um.edu.mt/library/oar/handle/123456789/130916

Διαθεσιμότητα: https://www.um.edu.mt/library/oar/handle/123456789/130916
https://doi.org/10.1016/j.esmoop.2023.101857

A method to identify differential expression profiles of time-course gene data with Fourier transformation

Συγγραφείς: Kim, Jaehee, Ogden, Robert T., Kim, Haseong

Θεματικοί όροι: Gene expression--Data processing, Genetics--Data processing, Fourier analysis, Bioinformatics, Gene expression, Genetics, Biology

Relation: https://doi.org/10.7916/D8S75DT6

Διαθεσιμότητα: https://doi.org/10.7916/D8S75DT6

Generalization of DNA microarray dispersion properties: microarray equivalent of t-distribution

Συγγραφείς: Novak, Jaroslav, Kim, Seon-Young, Xu, Jun, Modlich, Olga, Volsky, David Julian, Honys, David, Slonczewski, Joan, Bell, Douglas, Blattner, Fred, Blumwald, Eduardo, Boerma, Marjan, Cosio, Manuel, Gatalica, Zoran, Hajduch, Marian, Hidalgo, Juan, McInnes, Roderick, Miller III, Merrill, Penkowa, Milena, Rolph, Michael, Sottosanto, Jordan, St-Arnaud, Rene, Szego, Michael, Twell, David, Wang, Charles

Θεματικοί όροι: Gene expression--Mathematical models, Gene expression--Data processing, Biometry, DNA microarrays--Statistical methods, Genetics

Relation: https://doi.org/10.7916/D8GT5KN3

Διαθεσιμότητα: https://doi.org/10.7916/D8GT5KN3

ErmineJ: Tool for functional analysis of gene expression data sets

Συγγραφείς: Lee, Homin, Braynen, William, Keshav, Kiran, Pavlidis, Paul

Θεματικοί όροι: Hypergeometric distribution, Gene expression--Data processing, Bioinformatics, DNA microarrays--Data processing, Genetics

Relation: https://doi.org/10.7916/D8QV3K0B

Διαθεσιμότητα: https://doi.org/10.7916/D8QV3K0B

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

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)

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

A method to identify differential expression profiles of time-course gene data with Fourier transformation

Συγγραφείς: Jaehee Kim, R. Todd Ogden, Haseong Kim

Πηγή: BMC Bioinformatics
BMC BIOINFORMATICS(14)

Θεματικοί όροι: FOS: Computer and information sciences, Time Factors, Fourier Analysis, Models, Genetic, Bioinformatics, Gene Expression Profiling, Cell Cycle, Computational Biology, Saccharomyces cerevisiae, Gene expression--Data processing, Biochemistry, Sensitivity and Specificity, Fourier analysis, Computer Science Applications, Genetics--Data processing, FOS: Biological sciences, Genetics, Cluster Analysis, Gene expression, Molecular Biology, Biology, Research Article, Oligonucleotide Array Sequence Analysis

Σύνδεσμος πρόσβασης: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-310
https://pubmed.ncbi.nlm.nih.gov/24134721
http://open-repository.kisti.re.kr/cube/handle/open_repository/473723.do

Effect of single-cell RNA sequencing parameters on cluster stability

Συγγραφείς: Potgieter, Tiqvah Talya

Συνεισφορές: Maasdorp, Elizna, Patterton, Hugh, Stellenbosch University. Faculty of Science. Center for Bioinformatics and Computational Biology.

Θεματικοί όροι: Gene expression -- Data processing, Cluster analysis -- Data processing, Stability, Nucleotide sequence -- Technique, Cells -- Analysis, Single-cell RNA sequencing, UCTD

Περιγραφή αρχείου: xi, 90 pages : illustrations; application/pdf

Relation: https://scholar.sun.ac.za/handle/10019.1/132494

Διαθεσιμότητα: https://scholar.sun.ac.za/handle/10019.1/132494