Results 81 to 90 of about 3,867 (213)

Adverse drug reaction signal detection methods in spontaneous reporting system: A systematic review

Pharmacoepidemiology and Drug Safety, Volume 33, Issue 3, March 2024.
Abstract Background A series of signal detection methods have been developed to detect adverse drug reaction (ADR) signals in spontaneous reporting system. However, different signal detection methods yield quite different signal detection results, and we do not know which method has the best detection performance. How to choose the most suitable signal
Xue‐Feng Jiao, Libin Pu, Shan Lan, Hailong Li, Linan Zeng, Huiqing Wang, Lingli Zhang   +6 more
wiley   +1 more source

Cell‐type proteomic and metabolomic resolution of early and late grain filling stages of wheat endosperm

Plant Biotechnology Journal, Volume 22, Issue 3, Page 555-571, March 2024.
Summary The nutritional value of wheat grains, particularly their protein and metabolite composition, is a result of the grain‐filling process, especially in the endosperm. Here, we employ laser microdissection (LMD) combined with shotgun proteomics and metabolomics to generate a cell type‐specific proteome and metabolome inventory of developing wheat ...
Shuang Zhang, Arindam Ghatak, Mitra Mohammadi Bazargani, Hannes Kramml, Fujuan Zang, Shuang Gao, Živa Ramšak, Kristina Gruden, Rajeev K. Varshney, Dong Jiang, Palak Chaturvedi, Wolfram Weckwerth   +11 more
wiley   +1 more source

Understanding Work Rhythms in Software Development and Their Effects on Technical Performance

IET Software, Volume 2024, Issue 1, 2024.
The temporal patterns of code submissions, denoted as work rhythms, provide valuable insight into the work habits and productivity in software development. In this paper, we investigate the work rhythms in software development and their effects on technical performance by analyzing the profiles of developers and projects from 110 international ...
Jiayun Zhang, Qingyuan Gong, Yang Chen, Yu Xiao, Xin Wang, Aaron Yi Ding, Alessandro Marchetto   +6 more
wiley   +1 more source

A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data

IEEE Access
Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification.
Dan Li, Peicong Song, Jia Wang
doaj   +1 more source

PU‐GNN: A Positive‐Unlabeled Learning Method for Polypharmacy Side‐Effects Detection Based on Graph Neural Networks

International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
The simultaneous use of multiple drugs, known as polypharmacy, heightens the risks of harmful side effects due to drug‐drug interactions. Predicting these interactions is crucial in drug research due to the rising prevalence of polypharmacy. Researchers employ a graphical structure to model these interactions, representing drugs and side effects as ...
Abedin Keshavarz, Amir Lakizadeh, Alexander Hošovský   +2 more
wiley   +1 more source

Parameter settings of the applied biclustering algorithms.

, 2016
Parameter settings of the applied biclustering algorithms.
Eileen Marie Hanna (519222), Nazar Zaki (347364), Amr Amin (834226)   +2 more
core   +1 more source

Various specifications considered for the biclustering methods.

, 2014
Various specifications considered for the biclustering methods.
Ali Oghabian (539910), Sampsa Hautaniemi (57446), Elena Czeizler (539911), Sami Kilpinen (197573)   +3 more
core   +1 more source

Bayesian biclustering of gene expression data

BMC Genomics, 2008
Background Biclustering of gene expression data searches for local patterns of gene expression. A bicluster (or a two-way cluster) is defined as a set of genes whose expression profiles are mutually similar within a subset of experimental conditions ...
Liu Jun S, Gu Jiajun
doaj   +1 more source

Extracting regulatory modules from gene expression data by sequential pattern mining

BMC Genomics, 2011
Background Identifying a regulatory module (RM), a bi-set of co-regulated genes and co-regulating conditions (or samples), has been an important challenge in functional genomics and bioinformatics.
Kim Mingoo, Shin Hyunjung, Su Chung Tae, Joung Je-Gun, Kim Ju Han   +4 more
doaj   +1 more source

Heuristic Search of Exact Biclusters in Binary Data

International Journal of Applied Mathematics and Computer Science, 2020
The biclustering of two-dimensional homogeneous data consists in finding a subset of rows and a subset of columns whose intersection provides a set of cells whose values fulfil a specified condition.
Michalak Marcin, Jaksik Roman, Ślęzak Dominik   +2 more
doaj   +1 more source