Results 111 to 120 of about 3,867 (213)

Biclustering of expression microarray data with topic models

, 2010
Biclustering of expression microarray data with topic ...
DELLEDONNE, Massimo, LOVATO, PIETRO, BICEGO, Manuele, FERRARINI, Alberto   +3 more
core   +1 more source

Biclustering of expression microarray data using Affinity Propagation

, 2011
Biclustering, namely simultaneous clustering of genes and samples, represents a challenging and important research line in the expression microarray data analysis. In this paper, we investigate the use of Affinity Propagation, a popular clustering method,
Denitto, Matteo, Matteo Denitto, BICEGO, Manuele, Manuele Bicego, Alessandro Farinelli, FARINELLI, Alessandro   +5 more
core   +1 more source

Biclustering a dataset using photonic quantum computing

Frontiers in Computer Science
Biclustering is a problem in machine learning and data mining that seeks to group together rows and columns of a dataset according to certain criteria. In this work, we highlight the natural relation that quantum computing models like boson and Gaussian ...
Ajinkya Borle, Ameya Bhave
doaj   +1 more source

Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems

IEEE Access
The manuscript details the outcomes of a comprehensive study on the application of cluster-bicluster analysis, gene ontology analysis, and convolutional neural network (CNN) for diagnosing cancer and Alzheimer’s disease using gene expression data ...
Sergii Babichev, Igor Liakh, Jiri Skvor
doaj   +1 more source

SR: Biclustering protein complex interactions with a biclique finding algorithm

, 2020
Biclustering has many applications in text ...
Chqding@lbl Gov, Ya Zhang, Stephen R Holbrook, Tao Li, Lawrence Berkeley Nat', Chris Ding, Lawrence Berkeley Nat'l Lab Berkeley   +6 more
core  

Bicaco: An Ant Colony Inspired Biclustering Algorithm

, 2015
A recent proposal developed to avoid some of the drawbacks presented by standard clustering algorithms is the so-called biclustering technique [1], which performs clustering of rows and columns of the data matrix simultaneously, allowing the extraction ...
Von Zuben F.J., Coelho G.P., De Franca F.O.   +2 more
core   +1 more source

Biclustering Approaches Based on Correspondence Analysis for Single-Cell Transcriptomics

BICLUSTERING APPROACHES BASED ON CORRESPONDENCE ANALYSIS FOR SINGLE-CELL TRANSCRIPTOMICS Biclustering Approaches Based on Correspondence Analysis for Single-Cell Transcriptomics / Kohl, Clemens (Rights reserved) (-
Kohl, Clemens
core  

Biclustering Algorithms for Biological Data Analysis: A Survey

, 2004
This technical report presents a comprehensive survey of biclustering algorithms for biological data analysis, specifically gene expression data from microarray experiments.
Arlindo L. Oliveira, Sara C. Madeira
core  

Biclustering by resampling

, 2010
The search for similarities in large data sets has a very important role in many scientific fields. It permits to classify several types of data without an explicit information about it.
E. NOSOVA, R. TAGLIAFERRI, ROVETTA, STEFANO, MASULLI, FRANCESCO   +3 more
core   +1 more source

NoiBic: a noise-tolerant biclustering algorithm for high-throughput gene expression data analysis. [PDF]

Bioinformatics
Long C, Li J, Liu B, Sun D, Li G.
europepmc   +1 more source