Results 211 to 220 of about 579,154 (265)

Finding differentially expressed genes between cell fates predicted by image-based deep learning. [PDF]

Biophys Physicobiol
Okaniwa T, Kryukov K, Shiroguchi K.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

RNA Sequencing Identified Differentially Expressed Genes in the Mesocorticolimbic and Nigrostriatal Systems of Compulsive METH-Taking Rats. [PDF]

Cells
Adjei N, Ladenheim B, McCoy MT, Palande V, Cadet JL, Daiwile AP.   +5 more
europepmc   +1 more source

Race and Household Income Are Associated With Disease Outcomes in Pediatric Patients With Antineutrophil Cytoplasmic Antibody–Associated Vasculitis Hospitalized in the United States

Arthritis Care &Research, EarlyView.
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos, William Daniel Soulsby III, Emily von Scheven   +2 more
wiley   +1 more source

Deciphering differentially expressed genes and a flavonoid analysis reveal that the metabolic flux shift of flavonoids lightens flower coloration in γ-irradiation-induced Dendrobium hybrid mutants. [PDF]

BMC Plant Biol
Kim J, Lee SH, Ryu J, Kim JH, Kim DG, Kim WJ, Ha TH, Kim SH.   +7 more
europepmc   +1 more source

AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes. [PDF]

Brief Bioinform
Zhu H, Asiaee A, Azinfar L, Li J, Liang H, Irajizad E, Do KA, Long JP.   +7 more
europepmc   +1 more source

FlyDEGdb knowledge base on differentially expressed genes of Drosophila melanogaster, a model object in biomedicine. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Podkolodnaya OA, Deryuzhenko MA, Tverdokhleb NN, Zolotareva KA, Makovka YV, Podkolodny NL, Suslov VV, Chadaeva IV, Fedoseeva LA, Seryapina AA, Oshchepkov DY, Bogomolov AG, Kondratyuk EY, Redina OE, Markel AL, Gruntenko NE, Ponomarenko MP.   +16 more
europepmc   +1 more source

Bioinformatics analysis of glycolysis-related differentially expressed genes (GRDEGs) and their significance in ischemic stroke. [PDF]

Medicine (Baltimore)
Che Y, Sun X, Liu L, Peng L, Weng Y, Du S.   +5 more
europepmc   +1 more source

Diabetes-associated differentially expressed genes as prognostic biomarkers and therapeutic targets in endometrial cancer: a comprehensive molecular analysis. [PDF]

Front Oncol
Zhang T, Sun R, Lian X, Wang C, Li Y, Liu K.   +5 more
europepmc   +1 more source

Identification of Differentially Expressed Genes and SNPs Linked to <i>Vibrio mimicus</i> Resistance in Yellow Catfish (<i>Pelteobagrus fulvidraco</i>). [PDF]

Int J Mol Sci
Tong W, Yuan M, Liu S, Yang L, Zhou Y, Tang Q.   +5 more
europepmc   +1 more source