Yu-Jian Kang

PalmLab: A Comprehensive Computational Platform for Systematic Annotation and Functional Interrogation of Protein Palmitoylation

PalmLab curates and analyzes palmitoylation data from human and mouse proteomes, providing tools for functional interrogation and cross-cohort comparisons.

Deep-Palm：an integrated deep learning framework for structure-aware prediction of protein S-Palmitoylation

Deep-Palm is a deep learning framework that accurately predicts S-palmitoylation sites by integrating sequence, physicochemical, embedding, and structural features, outperforming existing methods.

Markonv: a novel convolutional layer with inter-positional correlations modeled

The paper introduces Markonv, a convolutional layer that models inter-positional correlations using Markov transition matrices, showing effectiveness in analyzing omics data and decoding electrical signals.

Quantitative model suggests both intrinsic and contextual features contribute to the transcript coding ability determination in cells

The paper introduces RiboCalc, a model that quantitatively predicts transcript coding ability in human cells, revealing context-dependent coding transcripts.