Results 51 to 60 of about 1,154,560 (163)

Predictive modeling of visible-light azo-photoswitches’ properties using structural features

Journal of Cheminformatics
In this manuscript we present the strategy for modeling photoswitch properties (maximum absorption wavelength and thermal half-life of photoisomers) of visible-light azo-photoswitches using structural data.
Said Byadi, P. K. Hashim, Pavel Sidorov
doaj   +1 more source

Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20

BMC Proceedings, 2018
Although methylation data continues to rise in popularity, much is still unknown about how to best analyze methylation data in genome-wide analysis contexts.
Jason Vander Woude, Jordan Huisman, Lucas Vander Berg, Jenna Veenstra, Abbey Bos, Anya Kalsbeek, Karissa Koster, Nathan Ryder, Nathan L. Tintle   +8 more
doaj   +1 more source

A guided network estimation approach using multi-omic information

BMC Bioinformatics
Intoduction In systems biology, an organism is viewed as a system of interconnected molecular entities. To understand the functioning of organisms it is essential to integrate information about the variations in the concentrations of those molecular ...
Georgios Bartzis, Carel F. W. Peeters, Wilco Ligterink, Fred A. Van Eeuwijk   +3 more
doaj   +1 more source

A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types

Genome Biology, 2019
Semi-automated genome annotation methods such as Segway take as input a set of genome-wide measurements such as of histone modification or DNA accessibility and output an annotation of genomic activity in the target cell type. Here we present annotations
Maxwell W. Libbrecht, Oscar L. Rodriguez, Zhiping Weng, Jeffrey A. Bilmes, Michael M. Hoffman, William Stafford Noble   +5 more
doaj   +1 more source

Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition

, 2009
. Recent results from diverse air, ground, and laboratory studies using both radiometric and in situ techniques show that the fractions of black carbon, organic matter, and mineral dust in atmospheric aerosols determine the wavelength dependence of ...
P. Russell, R. Bergstrom, Y. Shinozuka, A. Clarke, P. DeCarlo, J. Jimenez, J. Livingston, J. Redemann, O. Dubovik, A. Strawa   +9 more
semanticscholar   +1 more source

Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas

npj Digital Medicine
Molecular subtyping and grading of adult-type diffuse gliomas are essential for treatment decisions and patient prognosis. We introduce GlioMT, an interpretable multimodal transformer that integrates imaging and clinical data to predict the molecular ...
Yunsu Byeon, Yae Won Park, Soohyun Lee, Doohyun Park, HyungSeob Shin, Kyunghwa Han, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sung Soo Ahn, Dosik Hwang   +10 more
doaj   +1 more source

Empirical Bayes models for multiple probe type microarrays at the probe level

BMC Bioinformatics, 2008
Background When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are adjusted towards a global estimate, producing more stable results compared ...
Rudemo Mats, Mostad Petter, Åstrand Magnus   +2 more
doaj   +1 more source

Predictive model for early detection of type 2 diabetes using patients' clinical symptoms, demographic features, and knowledge of diabetes

Health Science Reports
Background and Aims With the global rise in type 2 diabetes, predictive modeling has become crucial for early detection, particularly in populations with low routine medical checkup profiles.
Taiwo Adetola Ojurongbe, Habeeb Abiodun Afolabi, Adesola Oyekale, Kehinde Adekunle Bashiru, Olubunmi Ayelagbe, Olusola Ojurongbe, Saddam Akber Abbasi, Nurudeen A. Adegoke   +7 more
doaj   +1 more source

Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores

Scientific Reports
The All of Us Research Program (AoU) is an initiative designed to gather a comprehensive and diverse dataset from at least one million individuals across the USA.
Lukasz Szczerbinski, Ravi Mandla, Philip Schroeder, Bianca C. Porneala, Josephine H. Li, Jose C. Florez, Josep M. Mercader, Miriam S. Udler, Alisa K. Manning   +8 more
doaj   +1 more source

Category of SET orders

Journal of High Energy Physics
We propose the representation principle to study physical systems with a given symmetry. In the context of symmetry enriched topological orders, we give the appropriate representation category, the category of SET orders, which include SPT orders and ...
Tian Lan, Gen Yue, Longye Wang
doaj   +1 more source