Results 41 to 50 of about 3,867 (213)
DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach
Background The analysis of massive high throughput data via clustering algorithms is very important for elucidating gene functions in biological systems. However, traditional clustering methods have several drawbacks.
Vingron Martin, Serin Akdes
doaj +1 more source
DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach
Biclustering algorithms refer to a distinct class of clustering algorithms that perform simultaneous row-column clustering. Biclustering problems arise in DNA microarray data analysis, collaborative filtering, market research, information retrieval ...
Tewfik Ahmed H, Tchagang Alain B
doaj +1 more source
Background The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem in the analysis of gene expression data since genes may only jointly ...
Feng Xiao-Jiang +5 more
doaj +1 more source
An evaluation study of biclusters visualization techniques of gene expression data
Biclustering is a non-supervised data mining technique used to analyze gene expression data, it consists to classify subgroups of genes that have similar behavior under subgroups of conditions.
Aouabed Haithem +2 more
doaj +1 more source
Pattern Recognition of Food Security in Indonesia Using Biclustering Plaid Model
Biclustering come in various algorithms, selecting the most suitable biclustering algorithm can be a challenging task. The performance of algorithms can vary significantly depending on the specific data characteristics.
Nur Hikmah +2 more
doaj +1 more source
We use lysine‐to‐glutamine mutations to study the effect of electrostatics on the kinetics and thermodynamics of alpha‐synuclein amyloid fibril formation. We find that mutational effects map on their structural context within fibrils and identify residues that modulate the energy landscape of alpha‐synuclein self‐assembly. Our work outlines a scalable,
Antonin Kunka +10 more
wiley +1 more source
Conditional Randomization Tests for the Specification of Interference Structure
ABSTRACT This study proposes specification tests for interference structure in causal inference with spillovers. We focus on experimental settings in which the treatment assignment mechanism is known. To test whether a given exposure mapping adequately summarizes the true interference structure, we develop conditional randomization tests by utilizing ...
Tadao Hoshino, Takahide Yanagi
wiley +1 more source
Efficient and Effective Optimal Transport-Based Biclustering
International audienceBipartite graphs can be used to model a wide variety of dyadic information such as user-rating, document-term, and gene-disorder pairs.
Labiod, Lazhar +2 more
core +1 more source
The EUROmediCAT Network and Databases: A Resource for Pharmacovigilance in Pregnancy
ABSTRACT Background The evidence gap relating to the risk of congenital anomalies (CA) associated with first trimester medication exposure in pregnancy is well recognized. Aims We describe the EUROmediCAT network and databases, and the methodological approach to pregnancy pharmacovigilance.
Helen Dolk +27 more
wiley +1 more source
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley +1 more source

