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smujiang committed Jun 25, 2024
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8 changes: 4 additions & 4 deletions 2023/01/18/argonne-visit.html
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"name": "Visiting Argonne National Laboratory",
"description": "Data science and Informatics for Multiomics Integration. DIMI Lab specializes in the data integration of multiomics, pathomics, and spatial omics data. Our team of data science experts is dedicated to developing scalable computational methodologies for large and heterogenous omics dataset. Our research mission is to advance computational science, unveiling key insights into complex biological systems and human diseases.",
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8 changes: 4 additions & 4 deletions 2023/10/25/QBI-2023-presentation.html
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<meta name="author" content="Jun Jiang">
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"name": "Cross Platform Proteomics and Transcriptomics Data Integration for Full Spectrum Cancer Profiling",
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4 changes: 2 additions & 2 deletions feed.xml
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2024-06-25T04:47:40+00:00</updated><id>/feed.xml</id><title type="html">DIMI Lab</title><subtitle>DIMI Lab specializes in the data integration of multiomics, pathomics, and spatial omics data. Our team of data science experts is dedicated to developing scalable computational methodologies for large and heterogenous omics dataset. Our research mission is to advance computational science, unveiling key insights into complex biological systems and human diseases.</subtitle><entry><title type="html">Cross Platform Proteomics and Transcriptomics Data Integration for Full Spectrum Cancer Profiling</title><link href="/2023/10/25/QBI-2023-presentation.html" rel="alternate" type="text/html" title="Cross Platform Proteomics and Transcriptomics Data Integration for Full Spectrum Cancer Profiling" /><published>2023-10-25T00:00:00+00:00</published><updated>2024-06-25T04:43:55+00:00</updated><id>/2023/10/25/QBI-2023-presentation</id><content type="html" xml:base="/2023/10/25/QBI-2023-presentation.html"><![CDATA[<p>This work is presented on 2023 QBI (Quantitative BioImaging) Workshop on Multiplex Image Analysis</p>
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2024-06-25T15:15:15+00:00</updated><id>/feed.xml</id><title type="html">DIMI Lab</title><subtitle>DIMI Lab specializes in the data integration of multiomics, pathomics, and spatial omics data. Our team of data science experts is dedicated to developing scalable computational methodologies for large and heterogenous omics dataset. Our research mission is to advance computational science, unveiling key insights into complex biological systems and human diseases.</subtitle><entry><title type="html">Cross Platform Proteomics and Transcriptomics Data Integration for Full Spectrum Cancer Profiling</title><link href="/2023/10/25/QBI-2023-presentation.html" rel="alternate" type="text/html" title="Cross Platform Proteomics and Transcriptomics Data Integration for Full Spectrum Cancer Profiling" /><published>2023-10-25T00:00:00+00:00</published><updated>2024-06-25T04:46:57+00:00</updated><id>/2023/10/25/QBI-2023-presentation</id><content type="html" xml:base="/2023/10/25/QBI-2023-presentation.html"><![CDATA[<p>This work is presented on 2023 QBI (Quantitative BioImaging) Workshop on Multiplex Image Analysis</p>

<p>Multiomics is a new technique that has been increasingly used in cancer research. There are many platforms available, and each has its unique strength on profiling cancer tissue. For example, CellDive can quantify more than 40 protein markers, while NanoString CosMx  can quantify expression level for more than 1000 mRNAs.
However, the analytical methods based on multiomics data are still suboptimal.
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</figure>]]></content><author><name>Jun Jiang</name></author><category term="Multiplex imaging" /><category term="Transcript" /><category term="Data integration" /><summary type="html"><![CDATA[This work is presented on 2023 QBI (Quantitative BioImaging) Workshop on Multiplex Image Analysis]]></summary></entry><entry><title type="html">Visiting Argonne National Laboratory</title><link href="/2023/01/18/argonne-visit.html" rel="alternate" type="text/html" title="Visiting Argonne National Laboratory" /><published>2023-01-18T00:00:00+00:00</published><updated>2024-06-25T04:43:55+00:00</updated><id>/2023/01/18/argonne-visit</id><content type="html" xml:base="/2023/01/18/argonne-visit.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>
</figure>]]></content><author><name>Jun Jiang</name></author><category term="Multiplex imaging" /><category term="Transcript" /><category term="Data integration" /><summary type="html"><![CDATA[This work is presented on 2023 QBI (Quantitative BioImaging) Workshop on Multiplex Image Analysis]]></summary></entry><entry><title type="html">Visiting Argonne National Laboratory</title><link href="/2023/01/18/argonne-visit.html" rel="alternate" type="text/html" title="Visiting Argonne National Laboratory" /><published>2023-01-18T00:00:00+00:00</published><updated>2024-06-25T04:46:57+00:00</updated><id>/2023/01/18/argonne-visit</id><content type="html" xml:base="/2023/01/18/argonne-visit.html"><![CDATA[<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.</p>
<h4 id="super-computer-in-argonne-national-library">Super computer in Argonne National Library</h4>
<figure class="figure">
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