Xome-Blender is a collection of python and R scripts based on SAMtools functions that allows to generate synthetic cancer genomes with user defined fe ...
When collecting sensitive information from groups or organization, it is highly important to maintain an individual's privacy. A formalization of priv ...
NanoSim is a nanopore sequence read simulator based on statistical characterization. It is a fast and scalable read simulator that captures the techno ...
Researchers have a controlled access to the Electronic Health Records (EHR) data as it is composed of personal identifiers and sensitive medical info ...
GapPredict is a tool that uses a character-level language model to predict unresolved nucleotides in gaps when de novo assembly algorithms cannot reco ...
Non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from maternal ECG ...
Electronic medical records that have been anonymized are becoming a more popular source of research data. However, these datasets frequently lack info ...
In this model a novel data-driven approach is used to synthesize filamentary structured images like retinal fundus images and neuronal images when gro ...
Synthetic data presents a promising solution to the privacy concern, if synthetic data has comparable utility to real data and if it preserves the pri ...
In healthcare domain, researchers face a lot of privacy challenges when it comes to create a deep learning model using electronic health record (EHR) ...