Results 241 to 250 of about 9,720,197 (382)
Polygenic prediction and gene regulation networks
Exploring the degree to which phenotypic variation, influenced by intrinsic nonlinear biological mechanisms, can be accurately captured using statistical methods is essential for advancing our comprehension of complex biological systems and predicting their functionality. Here, we examine this issue by combining a computational model of gene regulation
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Rolig, Peng, and colleagues have shed new light on how dual blockade of PD1 and LAG3 enhances antitumor immunity. They found that response to immunotherapy with anti‐PD1 + anti‐LAG3 was associated with reprogramming of canonically suppressive CD4+ regulatory T cells to an inflammatory state.
Tullia C. Bruno, Anthony R. Cillo
wiley +1 more source
DGHNN: a deep graph and hypergraph neural network for pan-cancer related gene prediction. [PDF]
Li B, Xiao X, Zhang C, Xiao M, Zhang L.
europepmc +1 more source
Disease gene prediction with privileged information and heteroscedastic dropout. [PDF]
Shu J, Li Y, Wang S, Xi B, Ma J.
europepmc +1 more source
Sphingoid Base Metabolism in Yeast: Mapping Gene Expression Patterns Into Qualitative Metabolite Time Course Predictions [PDF]
Tomas Radivoyevitch
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In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková+14 more
wiley +1 more source
Prediction of the Coding Sequences of Unidentified Human Genes. XX. The Complete Sequences of 100 New cDNA Clones from Brain Which Code for Large Proteins in vitro [PDF]
T. Nagase
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In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
wiley +1 more source
Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification. [PDF]
Akotenou G, El Allali A.
europepmc +1 more source
Balrog: A universal protein model for prokaryotic gene prediction. [PDF]
Sommer MJ, Salzberg SL.
europepmc +1 more source