Deep Learning algorithm to predict the cell cycle phase using circular regression
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Updated
Apr 15, 2024 - Jupyter Notebook
Deep Learning algorithm to predict the cell cycle phase using circular regression
RB represses cohesin-dependent loop formation and safeguards E2F-independent transcription
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Modeling the START transition in the budding yeast cell cycle
An interactive web application for exploring cell cycle models
What's all this talk about cell cycle models?
Track single cells and profile the cell cycle with PCNA fluorescence images
This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.
Single-cell transcriptome analysis by fluorescence labeling
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.
Track single-cells and profile the cell cycle with PCNA images.
ChIP-exo analysis highlights Fkh1 and Fkh2 transcription factors as hubs that integrate multi-scale networks in budding yeast | T.D.G.A. Mondeel, P. Holland, J. Nielsen and M. Barberis | 2019 | https://doi.org/10.1093/nar/gkz603
Interactive cell cycle analysis
Bachelor thesis project : Simulation of the WNT protein's interations with the circadian clock-cell cycle system
PyTorch + images of human T lymphocyte cells (Jurkat cells)
Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs | Thierry D.G.A. Mondeel, Oleksandr Ivanov, Hans V. Westerhoff, Wolfram Liebermeister and Matteo Barberis | NPJ Syst. Biol. Appl. (2020) | https://doi.org/10.1038/s41540-020-0125-0
Predict cell cycle phase in a continuum from single-cell RNA-seq data
Imoto, H. & Okada, M. Signal-dependent regulation of early-response genes and cell cycle: a quantitative view. Curr. Opin. Syst. Biol. 15, 100–108 (2019).
Semester course project- Computational Systems Biology (BT5240)
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