Results 51 to 60 of about 26,109,916 (377)

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

Population Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

BMC Genomics, 2020
Background In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost ...
Alemu Takele Assefa, Jo Vandesompele, Olivier Thas   +2 more
doaj   +1 more source

Redox‐dependent binding and conformational equilibria govern the fluorescence decay of NAD(P)H in living cells

FEBS Letters, EarlyView.
In this work, we reveal how different enzyme binding configurations influence the fluorescence decay of NAD(P)H in live cells using time‐resolved anisotropy imaging and fluorescence lifetime imaging microscopy (FLIM). Mathematical modelling shows that the redox states of the NAD and NADP pools govern these configurations, shaping their fluorescence ...
Thomas S. Blacker, Nimit Mistry, Nicoletta Plotegher, Elizabeth R. Westbrook, Michael D. E. Sewell, John Carroll, Gyorgy Szabadkai, Angus J. Bain, Michael R. Duchen   +8 more
wiley   +1 more source

Correction to: On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

BMC Genomics, 2020
An amendment to this paper has been published and can be accessed via the original article.
Alemu Takele Assefa, Jo Vandesompele, Olivier Thas   +2 more
doaj   +1 more source

Cold-Start Problems in Data-Driven Prediction of Drug–Drug Interaction Effects

Pharmaceuticals, 2021
Combining drugs, a phenomenon often referred to as polypharmacy, can induce additional adverse effects. The identification of adverse combinations is a key task in pharmacovigilance.
Pieter Dewulf, Michiel Stock, Bernard De Baets   +2 more
doaj   +1 more source

Analysis of a Mathematical Model of Protocell

Journal of Mathematical Analysis and Applications, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shangbin Cui, Shangbin Cui, Avner Friedman   +2 more
openaire   +3 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

A comparison of embedding aggregation strategies in drug–target interaction prediction

BMC Bioinformatics
The prediction of interactions between novel drugs and biological targets is a vital step in the early stage of the drug discovery pipeline. Many deep learning approaches have been proposed over the last decade, with a substantial fraction of them ...
Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman   +3 more
doaj   +1 more source

General analysis of mathematical models for bone remodeling

, 2010
Bone remodeling is regulated by pathways controlling the interplay of osteoblasts and osteoclasts. In this work, we apply the method of generalized modelling to systematically analyse a large class of models of bone remodeling.
Gross, Thilo, Siegmund, Stefan, Stiefs, Dirk, Zumsande, Martin   +3 more
core   +1 more source

Mathematical Statistics and Data Analysis

, 1988
1. PROBABILITY. Introduction. Sample Spaces. Probability Measures. Computing Probabilities: Counting Methods. Conditional Probability. Independence. Concluding Remarks. Problems. 2. RANDOM VARIABLES. Discrete Random Variables. Continuous Random Variables.
J. Rice
semanticscholar   +1 more source