Zobrazeno 1 - 10
of 430
pro vyhledávání: '"Batch effects"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1094-1105 (2024)
Most of the complex biological regulatory activities occur in three dimensions (3D). To better analyze biological processes, it is essential not only to decipher the molecular information of numerous cells but also to understand how their spatial con
Externí odkaz:
https://doaj.org/article/892533b8862547838303363e5fe65e7a
Publikováno v:
Epigenetics, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/bec29f3360794ce297aa1800eb141bd5
Autor:
Alba Regueira-Iglesias, Berta Suárez-Rodríguez, Triana Blanco-Pintos, Marta Relvas, Manuela Alonso-Sampedro, Carlos Balsa-Castro, Inmaculada Tomás
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
IntroductionMicrobiome-based clinical applications that improve diagnosis related to oral health are of great interest to precision dentistry. Predictive studies on the salivary microbiome are scarce and of low methodological quality (low sample size
Externí odkaz:
https://doaj.org/article/32ffbf2d0aa944f7b79bdf82163b29cd
Publikováno v:
Advanced Science, Vol 11, Iss 26, Pp n/a-n/a (2024)
Abstract Integrating multiple single‐cell datasets is essential for the comprehensive understanding of cell heterogeneity. Batch effect is the undesired systematic variations among technologies or experimental laboratories that distort biological s
Externí odkaz:
https://doaj.org/article/d2a9302b3bc448f6aad0883ae9f6bab2
Autor:
A.K. Larin, K.M. Klimina, V.A. Veselovsky, E.I. Olekhnovich, M.D. Morozov, D.I. Boldyreva, R.A. Yunes, A.I. Manolov, D.E. Fedorov, A.V. Pavlenko, Y.S. Galeeva, E.V. Starikova, E.N. Ilina
Publikováno v:
BMC Genomic Data, Vol 25, Iss 1, Pp 1-7 (2024)
Abstract Background Recent advancements in next-generation sequencing (NGS) technology have ushered in significant improvements in sequencing speed and data throughput, thereby enabling the simultaneous analysis of a greater number of samples within
Externí odkaz:
https://doaj.org/article/69612c3a9f724721830bbef36855343e
Autor:
Abdelkader Behdenna, Maximilien Colange, Julien Haziza, Aryo Gema, Guillaume Appé, Chloé-Agathe Azencott, Akpéli Nordor
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background Variability in datasets is not only the product of biological processes: they are also the product of technical biases. ComBat and ComBat-Seq are among the most widely used tools for correcting those technical biases, called batch
Externí odkaz:
https://doaj.org/article/91e67b6ac0de425f987185c544ba3343
Autor:
Noritaka Wakasugi, Harumasa Takano, Mitsunari Abe, Nobukatsu Sawamoto, Toshiya Murai, Toshiki Mizuno, Teruyuki Matsuoka, Ryo Yamakuni, Hirooki Yabe, Hiroshi Matsuda, Takashi Hanakawa, Parkinson’s and Alzheimer’s disease Dimensional Neuroimaging Initiative (PADNI)
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundDopamine transporter single-photon emission computed tomography (DAT-SPECT) is a crucial tool for evaluating patients with Parkinson’s disease (PD). However, its implication is limited by inter-site variability in large multisite clinical
Externí odkaz:
https://doaj.org/article/9750fd33b2e04876bf209159987c138a
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-5 (2023)
Abstract Despite the availability of batch effect correcting algorithms (BECA), no comprehensive tool that combines batch correction and evaluation of the results exists for microbiome datasets. This work outlines the Microbiome Batch Effects Correct
Externí odkaz:
https://doaj.org/article/1593e25066c24f1db831c55a64785d80
Autor:
Julian Hecker, Sanghun Lee, Priyadarshini Kachroo, Dmitry Prokopenko, Anna Maaser-Hecker, Sharon M. Lutz, Georg Hahn, Rafael Irizarry, Scott T. Weiss, Dawn L. DeMeo, Christoph Lange
Publikováno v:
Epigenetics, Vol 18, Iss 1 (2023)
ABSTRACTBackground: Recent studies have identified thousands of associations between DNA methylation CpGs and complex diseases/traits, emphasizing the critical role of epigenetics in understanding disease aetiology and identifying biomarkers. However
Externí odkaz:
https://doaj.org/article/ca2e6b037851433db0d38b74bde03ccd
Autor:
Patrick M. Carry, Tim Vigers, Lauren A. Vanderlinden, Carson Keeter, Fran Dong, Teresa Buckner, Elizabeth Litkowski, Ivana Yang, Jill M. Norris, Katerina Kechris
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Background We developed a novel approach to minimize batch effects when assigning samples to batches. Our algorithm selects a batch allocation, among all possible ways of assigning samples to batches, that minimizes differences in average pr
Externí odkaz:
https://doaj.org/article/f5f3161d1212472ba1fb4cc3ce02231b