104 skills found · Page 1 of 4
berty / BertyBerty is a secure peer-to-peer messaging app that works with or without internet access, cellular data or trust in the network
digitalcytometry / EcotyperEcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
digitalcytometry / Cytotrace2CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
dpeerlab / SEACellsSEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data
Mark-SS / SwitchCellularDataAndBluetoothA widget turn on cellular data
JEFworks-Lab / STdeconvolveReference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data
Polidea / Cellular Data Network SimulatorWebapp to monitor network usage and simulate network link conditions
JEFworks-Lab / MERINGUEcharacterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
shapsider / ModalnextRepository of "Modal-NexT: toward unified heterogeneous cellular data integration"
initialstate / Fona Pi ZeroRead from the Fona's GPS and then stream that data using it's cellular connection
Ringmast4r / Tower HunterCell tower logger and anomaly detector for Linux mobile devices. Monitors cellular connections, logs tower data with GPS, and detects suspicious activity.
bunnelab / VirtuesA foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical diagnostics, biological discovery and patient case retrieval.
wineslab / Colosseum Oran Commag DatasetDataset for the paper L. Bonati, S. D'Oro, M. Polese, S. Basagni, T. Melodia, "Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks," IEEE Communications Magazine, vol. 59, no. 10, pp. 21–27, October 2021.
JianYang-Lab / MeDuSAMeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance in bulk RNA-seq data.
drinkingc0ffee / Rayhunter EnhancedEnhanced Rayhunter Fork - 3x Cellular Data Coverage for IMSI Catcher Detection
Boz31 / Cellualr AutomataThis repository implements a Cellular Automata model for simulating grain evolution, written in Python and MATLAB. It can read and output .ctf files to process real EBSD data. Some key parts have been removed or modified, but I can provide the full code upon request—please contact me via email if needed.
ZauggGroup / DeePiCtPipeline for the automatic detection and segmentation of particles and cellular structures in 3D Cryo-ET data, based on deep learning (convolutional neural networks).
SysNetS / SPEC5GThis repository contains the code and data of the paper titled "SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis" published at AACL 2023.
rdlauer / PispeedtrapUsing Edge Impulse, a Raspberry Pi, and a Notecard for cellular data, this IoT project lets you set up a portable speed trap to measure traffic in your neighborhood.
immunitastx / MonkeybreadAnalyzing cellular niches in spatial transcriptomics data
