Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Gunjan Dixit"'
CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimized deep neural network architectures to predict expression from sequences. High predictive performance d
Externí odkaz:
https://doaj.org/article/cace88912d0c4c69a50d87c4e313777a
CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets
Recent large datasets measuring the gene expression of millions of possible gene promoter sequences provide a resource to design and train optimised deep neural network architectures to predict expression from sequences. High predictive performance d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c8db8d6427ff696acaf7d2b526b222c
https://doi.org/10.1101/2022.12.02.518786
https://doi.org/10.1101/2022.12.02.518786
Autor:
Gunjan, Dixit, Rebecca B, Stowe, Alison, Bates, Colleen K, Jaycox, Jorge R, Escobar, Benjamin D, Harding, Daniel L, Drew, Christopher P, New, Indra D, Sahu, Richard E, Edelmann, Carole, Dabney-Smith, Charles R, Sanders, Gary A, Lorigan
Publikováno v:
Biochimica et biophysica acta. Biomembranes. 1864(11)
KCNQ1 (Kv7.1 or KvLQT1) is a voltage-gated potassium ion channel that is involved in the ventricular repolarization following an action potential in the heart. It forms a complex with KCNE1 in the heart and is the pore forming subunit of slow delayed
Autor:
Benjamin D. Harding, Robert M. McCarrick, Indra D. Sahu, Ryan Kaplevatsky, Gary A. Lorigan, Colleen K. Jaycox, Warren D. Reynolds, Gunjan Dixit
Publikováno v:
J Phys Chem B
Membrane proteins are responsible for conducting essential biological functions that are necessary for the survival of living organisms. In spite of their physiological importance, limited structural information is currently available as a result of
Publikováno v:
Am J Cardiovasc Dis
The clinical association between atrial fibrillation (AF), coronary microvascular disease (CMD) and heart failure with preserved ejection fraction (HFpEF) is highly prevalent, however the mechanism behind this association is not known. We hypothesize
Publikováno v:
Genome. 62:45-52
Bacterial populations are routinely characterized based on microscopic examination, colony formation, and biochemical tests. However, in the recent past, bacterial identification, classification, and nomenclature have been strongly influenced by geno
Autor:
Carole Dabney-Smith, Warren D. Reynolds, Indra D. Sahu, Charles R. Sanders, Gunjan Dixit, Gary A. Lorigan, Benjamin D. Harding, Tessa M. Wadsworth, Colleen K. Jaycox
Publikováno v:
Biochemistry. 58:965-973
KCNQ1 (Kv7.1 or KvLQT1) is a potassium ion channel protein found in the heart, ear, and other tissues. In complex with the KCNE1 accessory protein, it plays a role during the repolarization phase of the cardiac action potential. Mutations in the chan
Publikováno v:
Journal of Visualized Experiments.
As well as the typical analysis of RNA-Seq to measure differential gene expression (DGE) across experimental/biological conditions, RNA-seq data can also be utilized to explore other complex regulatory mechanisms at the exon level. Alternative splici
Publikováno v:
Circulation. 142
Introduction: Atrial fibrillation (AF) commonly occurs in patients with heart failure with preserved ejection fraction (HFpEF). Recent studies showed a high prevalence of coronary microvascular dysfunction (CMD) in patients with HFpEF and a likely as
Publikováno v:
Journal of cardiovascular translational research. 14(3)
Atrial fibrillation (AF) is common, yet there is no preventive therapy for AF. We tested the efficacy of AMP-activated protein kinase (AMPK) activators, metformin, and aspirin, in primary prevention of AF in cardiac-specific liver kinase B1 (LKB1) kn