In order to support search and retrieval of documents in digital libraries, this paper proposes an approach to visualize unorganized collections based on the results of two clustering algorithms namely k-means
Cell type deconvolution is a computational method for the determination/resolution of cell type proportions from bulk sequencing data, and is frequently used for the analysis of divergent cell types in tumour tissue samples. However, deconvolution techno
A novel joint clustering and classification (JCC) method which could discover hidden clusters features in the patient samples was developed to predict diabetes, and the method performed best among the methods that were applicable to the interpretation of prediction22. A study used neural network, ...
In this work we focus attention on the single-label setting and we call the considered learning task multi-type clustering and classification from heterogeneous networks. This task is not completely new in the literature and has connections with the task of multiple predicate learning [36] in ILP...
When implementing various clustering methods to classify the objects into homogeneous particle classes, the clustering methods could only provide tentatively homogeneous classes. A possible group of particles chosen from cluster analysis can often have chemically different particles assigned to it. These ...
Spectral clustering for multi-type relational data. In: Cohen WW, Moore A, eds. Proc. of the 23rd Int'l Conf. on Machine Learning. New York: ACM Press, 2006. 585-592.Long B,Zhang F,Wu XY,Yu PS.Spectral clustering for multi-type relational data. Prec.of the 23rd Int‘l Conf.on ...
Next, the data were clustered with the Permutation Distribution Hierarchical Clustering (PerDHC) algorithm and classified into real and fake reviews by the proposed Log-Squish CNN approach. Subsequently, the BeDi-DC technique was used to identify the sentence types of real reviews. Word sense ...
A. Heatmap of log2 Fold Change (FC) values of hDEGs from the indicated samples, along with normalized gene expression (log2 (FPKM + 1)) of male and female normoxic controls. Genes are ordered by hierarchical clustering of the log2 FC values. In the log2 FC columns (red-blue),...
Aevermann BD, Zhang Y, Novotny M, Keshk M, Bakken TE, Miller JA, Hodge RD, Lelieveldt B, Lein ES, Scheuermann RH. A machine learning method for the discovery of minimum marker gene combinations for cell-type identification from single-cell RNA sequencing. Genome Res. 2021 Jun 4:gr.2755...
Single-cell RNA sequencing has enabled the decomposition of complex tissues into functionally distinct cell types. Often, investigators wish to assign cells to cell types through unsupervised clustering followed by manual annotation or via ‘mapping’ to existing data. However, manual interpretation scales...