Results 81 to 90 of about 6,396 (182)

Identification of Glucagon Secretion Patterns during an Oral Glucose Tolerance Test

Endocrines, 2023
Impaired glucagon secretion is a major component of glucose intolerance in type 2 diabetes mellitus (T2D). Glucagon secretion exhibits heterogenous patterns in individuals and across glucose tolerance diagnoses.
Andrew Shahidehpour, Mudassir Rashid, Mohammad Reza Askari, Mohammad Ahmadasas, Ali Cinar   +4 more
doaj   +1 more source

Detecting Cancer Survival Related Gene Markers Based on Rectified Factor Network

Frontiers in Bioengineering and Biotechnology, 2020
Detecting gene sets that serve as biomarkers for differentiating patient survival groups may help diagnose diseases robustly and develop multi-gene targeted therapies.
Lingtao Su, Lingtao Su, Guixia Liu, Juexin Wang, Jianjiong Gao, Dong Xu   +5 more
doaj   +1 more source

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

A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series

Algorithms for Molecular Biology, 2009
Background The ability to monitor the change in expression patterns over time, and to observe the emergence of coherent temporal responses using gene expression time series, obtained from microarray experiments, is critical to advance our understanding ...
Madeira Sara C, Oliveira Arlindo L
doaj   +1 more source

Minimax Structured Normal Means Inference

, 2016
We provide a unified treatment of a broad class of noisy structure recovery problems, known as structured normal means problems. In this setting, the goal is to identify, from a finite collection of Gaussian distributions with different means, the ...
Krishnamurthy, Akshay
core   +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

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

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation

, 2014
We present techniques for speeding up the test-time evaluation of large convolutional networks, designed for object recognition tasks. These models deliver impressive accuracy but each image evaluation requires millions of floating point operations ...
Bruna, Joan, Denton, Emily, Fergus, Rob, LeCun, Yann, Zaremba, Wojciech   +4 more
core  

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