Results 111 to 120 of about 3,388 (214)
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
, 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
Topological biclustering ARTMAP
, 2021 ”Detection of gene mutations is central for assessing genetic factors affecting disease predisposition, genetic causes of a particular disease, and gene-targeted treatment.
Yelugam, Raghu
core
Biclustering algorithms: A survey
, 2004 Analysis of large scale geonomics data, notably gene expression, has initially focused on clustering methods. Recently, biclustering techniques were proposed for revealing submatrices showing unique patterns.
Amos Tanay, Roded Sharan, Ron Shamir
core
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
, 2018 Biclustering is a powerful data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set. It was first applied to gene expression data in 2000, aiming to identify co-expressed genes under a subset of all ...
Anjun Ma +9 more
core +1 more source
Identifying Poverty Vulnerability Patterns in Indonesia using Cheng and Chruch’s Algorithm
JTAM (Jurnal Teori dan Aplikasi Matematika)Poverty remains a significant issue in developing countries, including Indonesia, where in 2022, the number of people living in poverty reached 26.36 million, with a poverty rate of 9.57%.
Irsyifa Mayzela Afnan +2 more
doaj +1 more source
The Evolution of Biclustering Algorithms
Biclustering methods have been initially developed for solving tasks of finding local correlations between expressions of gene subsets in the subsets of conditions.
Kuļešova, Gaļina, Uzhga-Rebrov, Oleg
core
Methods and Systems for Biclustering Algorithm
, 2015 Methods and systems for improved unsupervised learning are described. The unsupervised learning can consist of biclustering a data set, e.g., by biclustering subsets of the entire data set.
Xu, Rui, Kim, Sejun, Wunsch, Donald C.
core
Bayesian Biclustering on Discrete Data: Variable Selection Methods [PDF]
, 2013 Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects.
Guo, Lei, Lei Guo
core