DK-means: a deterministic k-means clustering algorithm for gene expression analysis
Clustering has been widely applied in interpreting the underlying patterns in microarray
gene expression profiles, and many clustering algorithms have been devised for the same …
gene expression profiles, and many clustering algorithms have been devised for the same …
High dimensionality reduction by matrix factorization for systems pharmacology
A Mehrpooya, F Saberi-Movahed… - Briefings in …, 2022 - academic.oup.com
The extraction of predictive features from the complex high-dimensional multi-omic data is
necessary for decoding and overcoming the therapeutic responses in systems …
necessary for decoding and overcoming the therapeutic responses in systems …
[HTML][HTML] Cost-optimal constrained correlation clustering via weighted partial maximum satisfiability
J Berg, M Järvisalo - Artificial Intelligence, 2017 - Elsevier
Integration of the fields of constraint solving and data mining and machine learning has
recently been identified within the AI community as an important research direction with high …
recently been identified within the AI community as an important research direction with high …
[HTML][HTML] Induction of 2-hydroxycatecholestrogens O-methylation: A missing puzzle piece in diagnostics and treatment of lung cancer
Lung cancer is one of the most common cancers worldwide, causing nearly one million
deaths each year. Herein, we present the effect of 2-methoxyestradiol (2-ME), the …
deaths each year. Herein, we present the effect of 2-methoxyestradiol (2-ME), the …
Characteristic gene selection based on robust graph regularized non-negative matrix factorization
D Wang, JX Liu, YL Gao, CH Zheng… - IEEE/ACM transactions …, 2015 - ieeexplore.ieee.org
Many methods have been considered for gene selection and analysis of gene expression
data. Nonetheless, there still exists the considerable space for improving the explicitness …
data. Nonetheless, there still exists the considerable space for improving the explicitness …
Robust nonnegative matrix factorization via joint graph Laplacian and discriminative information for identifying differentially expressed genes
Differential expression plays an important role in cancer diagnosis and classification. In
recent years, many methods have been used to identify differentially expressed genes …
recent years, many methods have been used to identify differentially expressed genes …
Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis
R Giancarlo, F Utro - Theoretical Computer Science, 2012 - Elsevier
The advent of high throughput technologies, in particular microarrays, for biological research
has revived interest in clustering, resulting in a plethora of new clustering algorithms …
has revived interest in clustering, resulting in a plethora of new clustering algorithms …
[图书][B] Power of Algorithms
G Ausiello, R Petreschi - 2016 - Springer
The meaning of the word algorithm as found in any English dictionary is rather similar to the
meaning of words such as method or procedure, that is,“a finite set of rules specifying a …
meaning of words such as method or procedure, that is,“a finite set of rules specifying a …
The three steps of clustering in the post-genomic era: a synopsis
Clustering is one of the most well known activities in scientific investigation and the object of
research in many disciplines, ranging from Statistics to Computer Science. Following Handl …
research in many disciplines, ranging from Statistics to Computer Science. Following Handl …
ARG-based genome-wide analysis of cacao cultivars
Background Ancestral recombinations graph (ARG) is a topological structure that captures
the relationship between the extant genomic sequences in terms of genetic events including …
the relationship between the extant genomic sequences in terms of genetic events including …