- 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
- An R package VIGoR for joint estimation of multiple linear learners with variational Bayesian inference
- InterPepScore: A Deep Learning Score for Improving the FlexPepDock Refinement Protocol
- Assessing and assuring interoperability of a genomics file format
- GLIDER: Function Prediction from GLIDE-based Neigborhoods
- DFBP: A Comprehensive Database of Food-Derived Bioactive Peptides for Peptidomics Research
- Genomic sequences and RNA binding proteins predict RNA splicing efficiency in various single-cell contexts
- Joint Registration of Multiple Point Clouds for Fast Particle Fusion in Localization Microscopy
- Nezzle: an interactive and programmable visualization of biological networks in Python
- OMEN: Network-based Driver Gene Identification using Mutual Exclusivity