Reverse Dependencies of adjustText

The following projects have a declared dependency on adjustText:

• ACTIONet — ACTIONet single-cell analysis framework
• ampel-hu-astro — Astronomy units for the Ampel system from HU-Berlin
• anprx — Create, visualise and leverage networks of ANPR cameras on the road network.
• autil — Some Python snippets for a researcher's daily use
• Bioplots — A data visualization package for bioinformatians and computational biologist
• cazomevolve — A bioinforamtic package for investigating the evolution of CAZomes
• cellex — Compute single-cell cell-type expression specificity
• cellmap — CellMap - RNA landscape inference method
• celltraj — Toolset for single-cell trajectory modeling.
• celltraj-copperma — Toolset for single-cell trajectory modeling.
• censusdis — US Census utilities for a variety of data loading, analysis, and mapping purposes.
• cerebral — Tool for creating multi-output deep ensemble neural-networks
• chemcomp — planet formation model including pebbles and gas accretion
• COMETSC — no summary
• cpa-tools — Compositional Perturbation Autoencoder (CPA)
• crispr-chronos — Time series modeling of CRISPR perturbation readcounts in biological data
• cwas — Category-wide association study (CWAS). This is a data analytic tool to perform stringent association tests to find non-coding loci associated with autism spectrum disorder (ASD).
• DAStk — Differential ATAC-seq toolkit
• decneo — Comberons from single cell transcriptomics in endothelial cells
• deepvelo — Deep Velocity
• dictys — Context specific and dynamic gene regulatory network reconstruction and analysis
• dinf — discriminator-based inference for population genetics
• dvu — Functions for data visualization in matplotlib.
• earthkit-maps — Geospatial visualisation tools and templates
• effmass — An effective mass package
• ElementEmbeddings — Element Embeddings
• FAMS — Fidelity Assessment for Model Selection
• GenRisk — Comprehensive genetic risk assessment
• gershgorin — Visualize the Gershgorin discs that bound the spectrum of a square matrix.
• giskard-toolbox — A random collection of tools I find useful for data science.
• gpplot — Plotting functions for the Genetic Perturbation Platform's R&D group at the Broad institute.
• helloworld-jmg — A test
• hundred-hammers — Quickly try out several ML models on a given dataset
• jaxqualin — A package for extracting quasinormal modes from time domain data
• kgpy — Generic Python utilities for use with Kankelborg Group repositories.
• latdraw — Draw Accelerator lattices in Python.
• many — Statistical methods for computing many correlations
• mediaviz — Visualize Networks With Force Atlas 2 Layout
• metatime — Beta MetaTiME: annotate TME scRNA cell states
• methylize — EWAS Analysis software for Illumina methylation arrays
• mgt2001 — A small package for MGT 2001 and MGT 2002 use only
• minimod-opt — A mixed-integer program optimization solver for finding optimal nutritional interventions across space and time.
• MiScan — MiScan: mutation-inferred screening model of cancer
• mplsignal — Matplotlib extension for signal processing-related plots
• mspypeline — Package to analyze Mass Spec Data
• mutagenesis-visualization — A package for processing, analysis and visualization of site-saturation mutagenesis data
• neuralsens — The neuralsens package facilitates sensitivity analysis on neural network models, quantifying input importance. It provides functions for calculating and plotting input significance, and obtaining neuron layer activation functions and derivatives. Compatible with models created in R and Python, it's a robust toolkit for understanding input contributions in neural networks.
• newsworthycharts — Matplotlib wrapper to create charts and publish them on Amazon S3
• ocrd-keraslm — character-level language modelling in Keras
• omicsone-volcano — OmicsOneVolcano: volcano plot for omics data analysis
• omicverse — OmicVerse: A single pipeline for exploring the entire transcriptome universe
• omniplot — To draw scientific plots easily
• osmscigrid — Extracting gas transport pipelines OSM pbf-files and exporting to SciGRID_gas structure
• outset — add zoom indicators, insets, and magnified panels to matplotlib/seaborn visualizations with ease!
• pastastore — Tools for managing Pastas time series models.
• pca — pca: A Python Package for Principal Component Analysis.
• pca-pwa — simplified manner for insights and decision-making, by visualizing complex relationships with PCA web application
• pegasuspy — Pegasus is a Python package for analyzing sc/snRNA-seq data of millions of cells
• pertpy — Perturbation Analysis in the scverse ecosystem.
• pewanalytics — Utilities for text processing and statistical analysis from Pew Research Center
• PheTK — The Phenotype Toolkit
• plotnine — A Grammar of Graphics for Python
• prodimopy — Python tools for ProDiMo.
• proteomics-downstream-analysis — A package for downstream data analysis of proteomics data
• psynlig — A package for creating plots with matplotlib.
• pybbda — Baseball data and analysis in Python
• pyCoDaMath — Compositional data (CoDa) analysis tools for Python
• pydefect — Integrated environment for first-principles point-defect calculations
• pygmtsar — PyGMTSAR (Python GMTSAR): Powerful and Accessible Satellite Interferometry
• pymatviz — A toolkit for visualizations in materials informatics
• pymodulon — Python package for analyzing and visualizing iModulons.
• pypef — A command-line interface (CLI) tool for performing data-driven protein engineering by building machine learning (ML)-trained regression models from sequence variant fitness data (in CSV format) based on different techniques for protein sequence encoding. Next to building pure ML models, "hybrid modeling" is also possible using a blended model optimized for predictive contributions of a statistical and an ML-based prediction.
• pyrobosim — ROS 2 enabled 2D mobile robot simulator for behavior prototyping.
• pyrovelocity — A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyro.
• pyshs — PySHS - Faciliter le traitement de données de questionnaires en SHS
• pytimetk — The time series toolkit for Python.
• pytrate — Bayesian sequence-titer regression.
• pyturbseq — no summary
• qplot — Visualization of SciGRID_gas networks structures
• rbfopt-go — Find better configuration of your Go service with derivative-free optimization algorithms
• rxnpath — rxnpath: a simple python package for generating reaction diagrams.
• salamander-learn — Salamander is a non-negative matrix factorization framework for signature analysis
• sanbomics — bioinformatics plots and tools for python
• sc-dandelion — sc-TCR/BCR-seq analysis tool
• sc-toolbox — A collection of project templates and useful code snippets for single-cell data analysis with Scanpy.
• scATAnno — no summary
• scButterfly — A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
• sccca — Single cell canonical correlation analysis.
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• sceleto — Tool to aid in single cell analysis (temporary description)
• scFates — scanpy compatible python suite for fast tree inference and advanced pseudotime downstream analysis
• scgen — ScGen - Predicting single cell perturbations.
• scgenome — Code for analyzing single cell whole genomes
• scib-metrics — Accelerated and Python-only scIB metrics
• scirpy — Python library for single-cell adaptive immune receptor repertoire (AIRR) analysis
• sciviso — sciviso: Wrapper for common visualisations for sci constellation.
• scpca — Single-cell PCA.
• scpram — scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
• scprel — Single-cell data preprocessing for multiple samples.
• screcode — RECODE - resolution of the curse of dimensionality in single-cell data analysis