Results 31 to 40 of about 2,952,879 (312)

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

Mathematical Modeling Analysis for Investigating the Future Expansion of the Electric Power System in Indonesia [PDF]

, 2013
Tulisan berikut berisikan ringkasan disertasi doktoral yang berjudul Mathematical Modeling Analyses for Investigating the Future Expansion of the Electric Power System in Indonesia.
Sambodo, M. T. (Maxensius)
core  

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

Analysis of spatio-temporal fungal growth dynamics under different environmental conditions

IMA Fungus, 2019
Traditionally, fungal growth dynamics were assessed manually, limiting the research to a few environmental conditions and/or fungal species. Fortunately, more automated ways of measurement are gaining momentum due to the availability of cheap imaging and
Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets   +5 more
doaj   +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

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

Metapopulation models with anti-symmetric Lotka–Volterra systems

Journal of Biological Dynamics
We consider different anti-symmetric Lotka–Volterra systems governing the pairwise interactions among the same n species inhabiting m spatially discrete habitat patches, with each patch having infinitely many equilibria.
Anju Susan Anish, Bernard De Baets, Shodhan Rao   +2 more
doaj   +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

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 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