Y. Ge

This paper develops and evaluates deep learning models for automated leaf counting in maize and sorghum, achieving performance close to human annotators.

This study identifies immune mechanisms underlying CyHV-3 resistance in a common carp strain through transcriptomic analysis of gene and lncRNA expression.

This study identifies phosphorylated residues in RBM20, showing their role in splicing control and protein shuttling, and links their mutation to cardiac dysfunction.

This study shows that Flg-deficient mice do not develop spontaneous skin inflammation or atopy, but Flg deficiency may modulate dermatitis caused by other barrier defects.

The paper identifies low-molecular-weight drugs that inhibit SARS-CoV-2 main protease using a fragment-based approach, finding niacin and hit 1 bind to the catalytic pocket and leading to the discovery of four drug candidates.

This paper uses deep learning to estimate histological staining intensity from MRI signals, creating virtual histology maps of mouse brains with enhanced sensitivity and specificity.

This paper evaluates HTCC as a potential inhibitor for SARS-CoV-2 and MERS-CoV, highlighting its antiviral activity against highly pathogenic coronaviruses.

The paper shows that two forms of Opa1 work together to regulate mitochondrial inner-membrane fusion, with l-Opa1 enabling docking and s-Opa1 facilitating efficient pore opening.

The paper introduces PI-Plat, a 3D imaging method to estimate rice inflorescence growth dynamics, showing voxel count correlates with seed number and maturation rate.

This study develops a serum-free method to generate human mesenchymal stem cell spheroids using knockout serum replacement, showing similar transcriptomes to FBS-based spheroids and retained MSC markers.

The paper revisits the proliferative behavior of hematopoietic stem cells (HSCs) and finds no evidence for mitotic memory or permanent quiescence after few divisions.

The paper predicts and validates common neoantigens in colorectal cancer that are both presented and immunogenic, identifying potential universal targets for immunotherapy.

The paper uses Bayesian inference and multi-ensemble Markov State Models to refine simulated ensembles of apomyoglobin with experimental HDX data, improving conformational modeling.

This study identifies circZKSCAN1 as a negative regulator of cancer stem cells in hepatocellular carcinoma, revealing its mechanism through interaction with FMRP and CCAR1-Wnt signaling.

The paper phenotypes maize lines using conventional and hyperspectral imaging, showing correlations between image data and manual measurements, and highlights unique hyperspectral signatures in stem tissue.

This paper introduces RT-FDC, combining real-time fluorescence imaging with deformability cytometry to enable label-free, high-throughput mechanical and molecular cell analysis.