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niryosef authored Oct 14, 2024
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Expand Up @@ -13,32 +13,29 @@ news: false # includes a list of news items
selected_papers: False # includes a list of papers marked as "selected={true}"
social: true # includes social icons at the bottom of the page
---
<!--
<meta http-equiv="refresh" content="0; url=https://www.weizmann.ac.il/immunology/yosef/" />
-->
<!--

<b>Department of Systems Immunology, Weizmann Institute of Science </b><br>

<!-- <img align="right" height="225px" src="assets/img/logo_fullsize.png"> -->


We are an interdisciplinary group, with interests in genomics, statistical machine learning, algorithms, T cell biology and tumor immunology.
<!-- We are an interdisciplinary group, with interests in genomics, statistical machine learning, algorithms, T cell biology and tumor immunology. -->


We have recently moved to the <a href = "https://www.weizmann.ac.il/immunology/">Weizmann Institute</a> from the Department of Electrical Engineering & Computer Science at <a href="https://eecs.berkeley.edu/">UC Berkeley</a>. Our lab takes a data- centric perspective on studying how changes in transcription are associated with cellular phenotypes in immunity and cancer. To achieve that, we are developing and applying computational tools to design and make sense of large molecular data sets. We have special interest in single cell genomics, with the goal of delineating and better understanding the <a href="https://doi.org/10.1038/nbt.3711">factors</a> that contribute to variability between cells (e.g,
<!-- We have recently moved to the <a href = "https://www.weizmann.ac.il/immunology/">Weizmann Institute</a> from the Department of Electrical Engineering & Computer Science at <a href="https://eecs.berkeley.edu/">UC Berkeley</a>. Our lab takes a data- centric perspective on studying how changes in transcription are associated with cellular phenotypes in immunity and cancer. To achieve that, we are developing and applying computational tools to design and make sense of large molecular data sets. We have special interest in single cell genomics, with the goal of delineating and better understanding the <a href="https://doi.org/10.1038/nbt.3711">factors</a> that contribute to variability between cells (e.g,
<a href = "https://doi.org/10.1016/j.cell.2021.05.045"> metabolic activity</a>,
<a href="https://doi.org/10.1016/j.crmeth.2022.100182"> chromatin structure</a>,
<a href="https://doi.org/10.1038/s41587-022-01272-8">microenvironment</a>)
and their broader implications
in <a href="https://doi.org/10.1038/s41467-019-14118-w">autoimmunity</a> and <a href="https://doi.org/10.1016/j.cell.2022.04.015">cancer</a>.
in <a href="https://doi.org/10.1038/s41467-019-14118-w">autoimmunity</a> and <a href="https://doi.org/10.1016/j.cell.2022.04.015">cancer</a>. -->

Examples [software]({{ site.baseurl }}{% link _pages/software.md %}) projects:

<!-- Examples [software]({{ site.baseurl }}{% link _pages/software.md %}) projects:
- [scvi-tools]({{ site.baseurl }}{% link _software/scvi-tools.markdown %}) for end-to-end analysis of single-cell omics data with deep generative models
- [cassiopeia]({{ site.baseurl }}{% link _software/cassiopeia.markdown %}) for single cell lineage tracing
- [vision]({{ site.baseurl }}{% link _software/vision.markdown %}) for interactive interpretation of single cell RNA-seq and CITE-seq data
- [epitome]({{ site.baseurl }}{% link _software/epitome.markdown %}) for prediction of epigenetic events using chromatin accessibility
- [epitome]({{ site.baseurl }}{% link _software/epitome.markdown %}) for prediction of epigenetic events using chromatin accessibility -->



Expand All @@ -51,4 +48,4 @@ Put your address / P.O. box / other info right below your picture. You can also
Link to your social media connections, too. This theme is set up to use [Font Awesome icons](http://fortawesome.github.io/Font-Awesome/){:target="\_blank"} and [Academicons](https://jpswalsh.github.io/academicons/){:target="\_blank"}, like the ones below. Add your Facebook, Twitter, LinkedIn, Google Scholar, or just disable all of them. -->

-->

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