Results 71 to 80 of about 5,937,551 (333)

Explicit kinetic heterogeneity: mechanistic models for interpretation of labeling data of heterogeneous cell populations [PDF]

, 2009
Estimation of division and death rates of lymphocytes in different conditions is vital for quantitative understanding of the immune system. Deuterium, in the form of deuterated glucose or heavy water, can be used to measure rates of proliferation and ...
Angela R. McLean, B Asquith, B Asquith, D Homann, DC Macallan, DM Bates, E Parretta, H Mohri, J Borghans, José A. M. Borghans, K Murali-Krishna, KP Burnham, M Davenport, M Hellerstein, M Hellerstein, N Vrisekoop, R Antia, R De Boer, R Hogg, R Neese, R Ribeiro, R Ribeiro, Rob J. De Boer, S Bonhoeffer, V Ganusov, Vitaly V. Ganusov, Z Grossman, Z Grossman   +27 more
core   +4 more sources

The multidrug and toxin extrusion (MATE) transporter DTX51 antagonizes non‐cell‐autonomous HLS1–AMP1 signaling in a region‐specific manner

FEBS Letters, EarlyView.
The Arabidopsis mutants hls1 hlh1 and amp1 lamp1 exhibit pleiotropic developmental phenotypes. Although the functions of the causative genes remain unclear, they act in the same genetic pathway and are thought to generate non‐cell‐autonomous signals.
Takashi Nobusawa, Makoto Kusaba
wiley   +1 more source

PRESUPPOSITION STRATEGIES IN DATA INTERPRETATION: CORPUS DATA ANALYSIS

Jurnal KATA: Penelitian tentang Ilmu Bahasa dan Sastra, 2018
This study aims to describe the proses of data interpretation using presupposition strategy. Generally, presupposition refers to what the speaker assumes to be the case before making an utterance (Yule, 1996: 42).
Mohamad Suhaizi Suhaimi, Maslida Yusof
doaj   +1 more source

Statistical data preparation: management of missing values and outliers [PDF]

Korean Journal of Anesthesiology, 2017
Missing values and outliers are frequently encountered while collecting data. The presence of missing values reduces the data available to be analyzed, compromising the statistical power of the study, and eventually the reliability of its results.
Sang Kyu Kwak, Jong Hae Kim
doaj   +1 more source

Expressing the tacit knowledge of a digital library system as linked data [PDF]

, 2019
Library organizations have enthusiastically undertaken semantic web initiatives and in particular the data publishing as linked data. Nevertheless, different surveys report the experimental nature of initiatives and the consumer difficulty in re-using ...
Di Iorio, A., Schaerf, M.
core   +1 more source

Interpreting language-learning data [PDF]

, 2020
This book provides a forum for methodological discussions emanating from researchers engaged in studying how individuals acquire an additional language. Whereas publications in the field of second language acquisition generally report on empirical studies with relatively little space dedicated to questions of method, the current book gave authors the ...
Edmonds, Amanda, Leclercq, Pascale, Gudmestad, Aarnes   +2 more
openaire   +3 more sources

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

Molecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia, Anouk C. de Jong, Lisanne F. van Dessel, Vanja de Weerd, Corine Beaufort, Jean Helmijr, José Alberto Nakauma‐González, Job van Riet, Paul Hamberg, Daniel Vis, Michiel S. van der Heijden, Nick Beije, Martijn P. Lolkema, Teoman Deger, Saskia M. Wilting, Ronald de Wit, Maurice P. H. M. Jansen, John W. M. Martens   +17 more
wiley   +1 more source

Extended Functional Groups (EFG): An Efficient Set for Chemical Characterization and Structure-Activity Relationship Studies of Chemical Compounds

Molecules, 2015
The article describes a classification system termed “extended functional groups” (EFG), which are an extension of a set previously used by the CheckMol software, that covers in addition heterocyclic compound classes and periodic table groups.
Elena S. Salmina, Norbert Haider, Igor V. Tetko   +2 more
doaj   +1 more source

On the Genetic Interpretation of Disease Data

PLoS ONE, 2010
The understanding of host genetic variation in disease resistance increasingly requires the use of field data to obtain sufficient numbers of phenotypes. We introduce concepts necessary for a genetic interpretation of field disease data, for diseases caused by microparasites such as bacteria or viruses. Our focus is on variance component estimation and
Bishop, Stephen C., Woolliams, John A.
openaire   +6 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source