Results 41 to 50 of about 872,279 (317)

Effects of the number of markers per haplotype and clustering of haplotypes on the accuracy of QTL mapping and prediction of genomic breeding values

, 2009
The aim of this paper was to compare the effect of haplotype definition on the precision of QTL-mapping and on the accuracy of predicted genomic breeding values.
Veerkamp Roel F, Theo HE Meuwissen, Egbert F Knol, Addie LJ Vereijken, Calus Mario PL, Vereijken Addie LJ, Knol, E.F., Schrooten, C., Windig, J.J., Meuwissen Theo HE, Knol Egbert F, Calus, M.P.L., Vereijken, A.L.J., Roel F Veerkamp, Jack J Windig, Windig Jack J, Veerkamp, R.F., Chris Schrooten, Schrooten Chris, Meuwissen, T.H.E., Mario PL Calus   +20 more
core   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Modeling Spatio-Temporal Precipitation Patterns in East Kalimantan using Space-Time Kriging and Median Polish-Based Spatio-Temporal Kriging

JTAM (Jurnal Teori dan Aplikasi Matematika)
Precipitation variability presents significant challenges for disaster risk reduction and water resource management, particularly in flood and drought-prone regions such as East Kalimantan.
Friendtika Miftaqul Jannah, Rahma Fitriani, Henny Pramoedyo   +2 more
doaj   +1 more source

Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction

, 2010
The extent to which accident severity can be predicted from accident-related data collected at a variety of locations is investigated. The 2005 accident dataset brought together by the Republic of Cyprus Police is employed; this dataset comprises 1407 ...
Miltiadis Chalikias, Dora Souliou, Souliou, Dora, Gregoriades, A, Tambouratzis, T, Tambouratzis, Tatiana, Gregoriades, A.,, Souliou, D, Souliou, D.,, Chalikias, M.,, Tatiana Tambouratzis, Gregoriades, A., Chalikias, M, Chalikias, M., Chalikias, Miltiadis, Tampouratzi, Tatiani, Souliou, D., Andreas Gregoriades, Gregoriades, Andreas, Tampouratzi, Tatiani,   +19 more
core   +1 more source

Accuracy of multi-trait genomic selection using different methods [PDF]

, 2011
Background Genomic selection has become a very important tool in animal genetics and is rapidly emerging in plant genetics. It holds the promise to be particularly beneficial to select for traits that are difficult or expensive to measure, such as traits
Veerkamp Roel F, Calus, M.P.L., Roel F Veerkamp, Calus Mario PL, Veerkamp, R.F., Mario PL Calus   +5 more
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

The Effects of Cold Tolerance on the Distribution of Two Extreme Altitude Lizard Species in the Qinghai–Tibetan Plateau

Animals
Species distribution models (SDMs) have been widely used to predict potentially suitable habitats for species. However, traditional SDMs have been criticized for ignoring the physiological processes by which species respond to their environment ...
Xiaqiu Tao, Yiyi Li, Jiasheng Li
doaj   +1 more source

Reliability and validity in comparative studies of software prediction models

, 2005
Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
I. Myrtveit, E. Stensrud, Myrtveit, I, Shepperd, MJ, Stensrud, E, M. Shepperd   +5 more
core   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network

CAAI Transactions on Intelligence Technology, 2023
The alpha–beta filter algorithm has been widely researched for various applications, for example, navigation and target tracking systems. To improve the dynamic performance of the alpha–beta filter algorithm, a new prediction learning model is proposed ...
Junaid Khan, Eunkyu Lee, Kyungsup Kim
doaj   +1 more source