Dimension reduction methods

A numerical study was carried out to investigate the effectiveness of the charge air cooling method on the exhaust gas emission reduction when applied to a four-stroke marine generator diesel engine at full load. The AVL FIRE 2018a software was used to perform three-dimension (3D) simulations of the combustion process and emission formations inside the engine cylinder operating with various charge air temperatures (CATs).

13p viohoyo 25-04-2024 2 1   Download

Lecture "Applied data science: Regularisation" includes content: variable subset selection, shrinkage methods, dimension reduction, considerations in high dimensions,... We invite you to consult!

34p kimphuong1144 04-12-2023 5 3   Download

Ebook "Data mining methods and models" includes content: Dimension reduction methods, regression modeling, multiple regression and model building, logistic regression, naive bayes estimation and bayesian networks, genetic algorithms, case study - modeling response to direct mail marketing,...and other contents.

340p haojiubujain07 20-09-2023 6 3   Download

Principal component analysis (PCA) is an essential method for analyzing single-cell RNA-seq (scRNA-seq) datasets, but for large-scale scRNA-seq datasets, computation time is long and consumes large amounts of memory.

17p viarchimedes 26-01-2022 12 0   Download

Single-cell RNA-sequencing (scRNAseq) and the set of attached analysis methods are evolving fast, with more than 560 software tools available to the community, roughly half of which are dedicated to tasks related to data processing such as clustering, ordering, dimension reduction, or normalization.

28p viarchimedes 26-01-2022 10 0   Download

The results are later validated on a real dataset for breast cancer through visual evaluation metrics such as co-ranking matrices, inspection of true cancer sub-types in two-dimensional projections, and LCMC curves.

15p guernsey 28-12-2021 12 0   Download

Omics profiling is now a routine component of biomedical studies. In the analysis of omics data, clustering is an essential step and serves multiple purposes including for example revealing the unknown functionalities of omics units, assisting dimension reduction in outcome model building, and others. In the most recent omics studies, a prominent trend is to conduct multilayer profiling, which collects multiple types of genetic, genomic, epigenetic and other measurements on the same subjects. In the literature, clustering methods tailored to multilayer omics data are still limited.

13p vibeauty 23-10-2021 3 0   Download

Respiratory epithelial cells are the primary target of influenza virus infection in human. However, the molecular mechanisms of airway epithelial cell responses to viral infection are not fully understood. Revealing genome-wide transcriptional and post-transcriptional regulatory relationships can further advance our understanding of this problem, which motivates the development of novel and more efficient computational methods to simultaneously infer the transcriptional and post-transcriptional regulatory networks.

18p vikentucky2711 26-11-2020 12 1   Download

Rapid computational and technological developments made large amounts of omics data available in different biological levels. It is becoming clear that simultaneous data analysis methods are needed for better interpretation and understanding of the underlying systems biology.

16p vioklahoma2711 19-11-2020 7 1   Download

Gene set analysis (GSA) aims to evaluate the association between the expression of biological pathways, or a priori defined gene sets, and a particular phenotype. Numerous GSA methods have been proposed to assess the enrichment of sets of genes.

15p vioklahoma2711 19-11-2020 5 1   Download

The current gold standard in dimension reduction methods for high-throughput genotype data is the Principle Component Analysis (PCA). The presence of PCA is so dominant, that other methods usually cannot be found in the analyst’s toolbox and hence are only rarely applied.

9p vioklahoma2711 19-11-2020 12 1   Download

Data analysis methods are usually subdivided in two distinct classes: There are methods for prediction and there are methods for exploration. In practice, however, there often is a need to learn from the data in both ways.

13p viconnecticut2711 28-10-2020 10 0   Download

Alignment-free methods of genomic comparison offer the possibility of scaling to large data sets of nucleotide sequences comprised of several thousand or more base pairs. Such methods can be used for purposes of deducing “nearby” species in a reference data set, or for constructing phylogenetic trees.

17p vicolorado2711 23-10-2020 41 1   Download

One of the important tools of geometric mechanics is reduction theory (either Lagrangian or Hamiltonian),which provides a well-developed method for dealing with dynamic constraints. In this theory the dynamic constraints and the sym- metry group are used to lower the dimension of the system by constructing an associated reduced system. We develop the Lagrangian version of this theory for nonholonomic systems in this paper. We have focussed on Lagrangian systems because this is a convenient context for applications to control theory. ...

130p loixinloi 08-05-2013 44 3   Download