Datasets

subject: Computer Science date: 2014

Total is 37 Results
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

10.4231/R7KK98PG

Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar

09/03/2014

The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects

AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects

RP1D (Clustering Method Using 1D Random Projections)

10.4231/R74F1NN4

Mireille Boutin ORCID logo , Sangchun Han

11/12/2014

The source code of RP1D (Clustering Method Using 1D Random Projections).

Clustering Computer Science Electrical and Computer Engineering Random Projection Source Code

Task analysis cases and results for Ex Libris Primo at Purdue University Libraries

10.4231/R7CZ3538

Marlen Promann , Tao Zhang

11/06/2014

These figures represent the task analysis results of different use cases of Ex Libris Primo implemented at Purdue University Libraries, depending on the availability and format of the resource being searched by the user.

Computer Science Library Science Library Website Primo Task Analysis

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