- An Automated Multi-Modal Graph-Based Pipeline for Mouse Genetic Discovery
- ExplorATE: A new pipeline to explore active transposable elements from RNA-seq data
- Photizo: an open-source library for cross-sample analysis of FTIR spectroscopy data
- Predicting protein-peptide binding residues via interpretable deep learning
- webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration
- Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics
- PeakBot: Machine learning based chromatographic peak picking
- HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer
- ScisorWiz: Visualizing Differential Isoform Expression in Single-Cell Long-Read Data
- Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
- CeCaFLUX: the first web server for standardized and visual instationary 13C metabolic flux analysis
- Examining clustered somatic mutations with SigProfilerClusters
- Powerful Molecule Generation with Simple ConvNet
- MINE 2.0: Enhanced biochemical coverage for peak identification in untargeted metabolomics
- AutoDC: an Automatic Machine Learning Framework for Disease Classification
- SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications
- Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance
- PersonaDrive: A Method for the Identification and Prioritization of Personalized Cancer Drivers
- Kinetochore tracking in 3D from lattice light sheet imaging data with KiT
- CURC: A CUDA-based reference-free read compressor