Sangsoo Lim

Supervised Chemical Graph Mining Improves Drug-Induced Liver Injury (DILI) Prediction

Multi-layer guilt-by-association-based drug repurposing by integrating clinical knowledge on biological heterogeneous networks

On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach

SREBP1c-PARP1 axis tunes anti-senescence activity of adipocytes and ameliorates metabolic imbalance in obesity

Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning

Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer

Spatial Regulation of Reactive Oxygen Species via G6PD in Brown Adipocytes Supports Thermogenic Function

BioVLAB-Cancer-Pharmacogenomics: Tumor Heterogeneity and Pharmacogenomics Analysis of Multi-omics Data from Tumor on the Cloud

MONTI: A Multi-Omics Non---negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

Construction of Condition-Specific Gene Regulatory Network using Kernel Canonical Correlation Analysis

DNMT1 maintains metabolic fitness of adipocytes through acting as an epigenetic safeguard of mitochondrial dynamics

A review on compound-protein interaction prediction methods: Data,format, representation and model

DRIM: A web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration

Cancer subtype classification and modeling by pathway attention and propagation

Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data

Enhancer prediction with histone modification marks using a hybrid neural network model

SpliceHetero: An information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq

PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI

Iterative segmented least square method for functional microRNA-mRNA module discovery in breast cancer

Measuring intratumor heterogeneity by network entropy using RNA-seq data

Protein interaction network (pin)-based breast cancer subsystem identification and activation measurement for prognostic modeling

Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms

Rapid screening of phospholipid biomarker candidates from prostate cancer urine samples by multiple reaction monitoring of UPLC-ESI-MS/MS and statistical approaches

Characterization of oxidized phospholipids in oxidatively modified low density lipoproteins by nanoflow liquid chromatography–tandem mass spectrometry

Top–down lipidomic analysis of human lipoproteins by chip-type asymmetrical flow field-flow fractionation–electrospray ionization-tandem mass spectrometry

Discovery of candidate phospholipid biomarkers in human lipoproteins with coronary artery disease by flow field-flow fractionation and nanoflow liquid chromatography–tandem mass spectrometry

Computational approach to structural identification of phospholipids using raw mass spectra from nanoflow liquid chromatography–electrospray ionization–tandem mass spectrometry

Effect of ionization modifiers on the simultaneous analysis of all classes of phospholipids by nanoflow liquid chromatography/tandem mass spectrometry in negative ion mode

Effect of D-allose on prostate cancer cell lines: phospholipid profiling by nanoflow liquid chromatography–tandem mass spectrometry

Effects of column length and particle diameter on phospholipid analysis by nanoflow liquid chromatography-electrospray ionization-mass spectrometry

Shotgun lipidomics for candidate biomarkers of urinary phospholipids in prostate cancer