Results 101 to 110 of about 1,213,334 (312)
Evidence Based Selection of Housekeeping Genes
For accurate and reliable gene expression analysis, normalization of gene expression data against housekeeping genes (reference or internal control genes) is required. It is known that commonly used housekeeping genes (e.g. ACTB, GAPDH, HPRT1, and B2M) vary considerably under different experimental conditions and therefore their use for normalization ...
de Jonge, Hendrik J. M. +9 more
openaire +5 more sources
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Separation measures and the geometry of Bayes factor selection for classification [PDF]
Conjugacy assumptions are often used in Bayesian selection over a partition because they allow the otherwise unfeasibly large model space to be searched very quickly. The implications of such models can be analysed algebraically.
Jim Q. Smith +5 more
core +1 more source
Integrated genomic and transcriptomic analysis of polydactyly in chickens
IntroductionPolydactyly—the presence of extra digits—is a heritable limb anomaly observed in several chicken breeds. The Puan Panjiang black-bone chicken uniquely exhibits both four- and five-toed phenotypes, yet the genetic and transcriptional bases of ...
Zhiying Huang +6 more
doaj +1 more source
Biophysical approaches for studying viral entry
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
An Embedded Gene Selection Method for Gene Expression Data [PDF]
[[abstract]]In recent years, many studies have shown the microarray gene expression data is useful for disease identification and cancer classification. Due to it only has small number of samples, and contains thousands of genes simultaneously, it leads ...
Cheng-San Yang;Cheng-Hong Yang; Chao-Hsuan Ke ; Li-Yeh Chuang
core
Genome-wide analysis of selection on the malaria parasite Plasmodium falciparum in West African populations of differing infection endemicity. [PDF]
Locally varying selection on pathogens may be due to differences in drug pressure, host immunity, transmission opportunities between hosts, or the intensity of between-genotype competition within hosts. Highly recombining populations of the human malaria
Conway, David J +28 more
core +1 more source
Classification of cancer subtypes is of paramount importance for diagnosis and prognosis of cancer. In recent years, deep learning methods have gained considerable popularity for cancer subtype classification, however, the structure of the neural network
Jing Xu +5 more
doaj +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction [PDF]
In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consulting customer, present only the ...
Carolin Strobl +5 more
core +1 more source

