Multigrate: single-cell multi-omic data integration

M Lotfollahi, A Litinetskaya, FJ Theis - BioRxiv, 2022 - biorxiv.org
Single-cell multimodal omics technologies provide a holistic approach to study cellular
decision making. Yet, learning from multimodal data is complicated because of missing and …

CSS: cluster similarity spectrum integration of single-cell genomics data

Z He, A Brazovskaja, S Ebert, JG Camp, B Treutlein - Genome biology, 2020 - Springer
It is a major challenge to integrate single-cell sequencing data across experiments,
conditions, batches, time points, and other technical considerations. New computational …

HepScope: CNN-based single-cell discrimination of malignant hepatocytes

Y Go, JT Ng, DWT Lim, SB Lim - Journal of Big Data, 2024 - Springer
Hepatocellular carcinoma (HCC) presents a major health issue worldwide. This study
introduces the HepScope gene set, developed through a hybrid approach that utilizes single …

Transcriptomic map** of neural diversity, differentiation and functional trajectory in ipsc-derived 3d brain organoid models

K Kiaee, YA Jodat, NJ Bassous, N Matharu, SR Shin - Cells, 2021 - mdpi.com
Experimental models of the central nervous system (CNS) are imperative for developmental
and pathophysiological studies of neurological diseases. Among these models, three …