Results 91 to 100 of about 3,867 (213)
Frontiers in Psychiatry, 2017 Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores.
Cota Navin Gupta +24 more
doaj +1 more source
Abstract Biclustering is an essential unsupervised machine learning technique for simultaneouslyclustering rows and columns of a data matrix, with widespread applications in genomics, transcriptomics,and other high-dimensional omics data.
Jiakun Jiang +4 more
openaire +3 more sources
The penalized biclustering model and related algorithms
, 2015 Biclustering is the simultaneous clustering of two related dimensions, for example, of individuals and features, or genes and experimental conditions. Very few statistical models for biclustering have been proposed in the literature. Instead, most of the
Thierry Chekouo (683161) +1 more
core +1 more source
BMC Bioinformatics, 2012 Background Biclustering has been utilized to find functionally important patterns in biological problem. Here a bicluster is a submatrix that consists of a subset of rows and a subset of columns in a matrix, and contains homogeneous patterns. The problem
Joung Je-Gun +3 more
doaj +1 more source
Collaborative Planning with Biclustering
For companies, improving and streamlining their supply chains is crucial for survival in the global competitive environment. Collaborative Planning, Forecasting, and Replenishment (CPFR) is a process management strategy that promotes collaboration among ...
AYDOĞAN, SENA +3 more
core +1 more source
Stability and Performances in Biclustering Algorithms [PDF]
, 2009 Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used in several ways to achieve a deeper understanding or better confidence in bioinformatic data analysis. In the specific field of fuzzy biclustering, stability can be analyzed by porting
Maurizio Filippone +2 more
openaire +2 more sources
RcmdrPlugin.BiclustGUI: 'Rcmdr' Plug-in GUI for Biclustering
, 2016 A plug-in for R Commander ('Rcmdr'). The package is a Graphical User Interface (GUI) in which several biclustering methods can be executed, followed by diagnostics and plots of the results. Further, the GUI also has the possibility to connect the methods
DE TROYER, Ewoud, OTAVA, Martin
core +1 more source
, 2010 This thesis presents a new ant-optimized biclustering technique known as SNAP biclustering, which runs faster and produces results of superior quality to previous techniques. Biclustering techniques have been designed to compensate
Chan, William Hannibal
core
The Influence of the Binary Process Threshold on the BCBimax Algorithm in Finding Optimal BC
InPrimeSelecting an appropriate threshold is crucial in the binarization process because it directly affects the quality of biclusters generated by the BCBimax algorithm.
Femmy Diwidian +4 more
doaj +1 more source
Data, 2018 This paper presents the results of research concerning the evaluation of stability of information technology of gene expression profiles processing with the use of gene expression profiles, which contain different levels of noise components.
Sergii Babichev
doaj +1 more source