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[{"authors":null,"categories":null,"content":"Dr. Andrew Roth, PhD (UBC) is an assistant professor in the Departments of Pathology and Laboratory Medicine, and Computer Science. His interdisciplinary research focuses on the application of statistical machine learning to problems in high dimensional cancer biology. This research program encompasses the development of computational methods for studying clonal population structures and tumour evolution, as well as methodological work in computational statistics. His work in computational biology has been published in Nature Methods and applied in high profile studies of breast and ovarian cancer published in Nature and Nature Genetics. Dr. Roth will provide expertise in bioinformatics analysis. In particular, he will focus on developing computational approaches for studying the spatial and temporal dynamics of the malignant-cell immune interface.\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"491a35b91678cdec142ee63377231732","permalink":"https://roth-lab.github.io/authors/aroth/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/aroth/","section":"authors","summary":"Dr. Andrew Roth, PhD (UBC) is an assistant professor in the Departments of Pathology and Laboratory Medicine, and Computer Science. His interdisciplinary research focuses on the application of statistical machine learning to problems in high dimensional cancer biology.","tags":null,"title":"Andrew Roth","type":"authors"},{"authors":["aroth2"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"eebd48411776d4e2be68bdd579b8e96a","permalink":"https://roth-lab.github.io/authors/aroth2/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/aroth2/","section":"authors","summary":"","tags":null,"title":"Andrew Roth","type":"authors"},{"authors":["anne_sophie"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"aa706a10c42f09a82cc925d48bad807f","permalink":"https://roth-lab.github.io/authors/anne_sophie/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/anne_sophie/","section":"authors","summary":"","tags":null,"title":"Anne-Sophie Fratzscher","type":"authors"},{"authors":["erlee"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"5b0e14dda19c4afc9db31f58bb2b195e","permalink":"https://roth-lab.github.io/authors/erlee/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/erlee/","section":"authors","summary":"","tags":null,"title":"Eric Lee","type":"authors"},{"authors":["kchern"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"08aeb5d8b4ecbcd23ca0f034f312cbfc","permalink":"https://roth-lab.github.io/authors/kchern/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/kchern/","section":"authors","summary":"","tags":null,"title":"Kevin Chern","type":"authors"},{"authors":["shaocheng"],"categories":null,"content":"\nMy research interest is to apply computational methods and develop machine learning models to understand complex disease mechanisms and to design efficient analysis algorithms.\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"a7cb85fac66ec045adc5ed9cc9bac4df","permalink":"https://roth-lab.github.io/authors/shaocheng/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/shaocheng/","section":"authors","summary":"My research interest is to apply computational methods and develop machine learning models to understand complex disease mechanisms and to design efficient analysis algorithms.","tags":null,"title":"Shaocheng Wu","type":"authors"},{"authors":["sgillis"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"19d636331641e3b0eaeaf791a5934f73","permalink":"https://roth-lab.github.io/authors/sgillis/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/sgillis/","section":"authors","summary":"","tags":null,"title":"Sierra Gillis","type":"authors"},{"authors":[],"categories":null,"content":" Click on the Slides button above to view the built-in slides feature. Slides can be added in a few ways:\n Create slides using Wowchemy\u0026rsquo;s Slides feature and link using slides parameter in the front matter of the talk file Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes. Further event details, including page elements such as image galleries, can be added to the body of this page.\n","date":1906549200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1906549200,"objectID":"a8edef490afe42206247b6ac05657af0","permalink":"https://roth-lab.github.io/talk/example-talk/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/talk/example-talk/","section":"event","summary":"An example talk using Wowchemy's Markdown slides feature.","tags":[],"title":"Example Talk","type":"event"},{"authors":["admin"],"categories":null,"content":"Lab first social event at Kitsilano Beach 👋👋👋👋👋👋 ","date":1633564800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1633564800,"objectID":"496c0c284ca820d6cf1570982cf40337","permalink":"https://roth-lab.github.io/post/social_kits/","publishdate":"2021-10-07T00:00:00Z","relpermalink":"/post/social_kits/","section":"post","summary":"👋","tags":["Social"],"title":"Lab first social event at Kitsilano Beach","type":"post"},{"authors":null,"categories":null,"content":"","date":1633564800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1633564800,"objectID":"1db1dd4c1d24b0b8749415eb00cc8728","permalink":"https://roth-lab.github.io/project/tfri/","publishdate":"2021-10-07T00:00:00Z","relpermalink":"/project/tfri/","section":"project","summary":"TFRI single cell data analysis","tags":["Computational Biology"],"title":"TFRI single cell data analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1626998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1626998400,"objectID":"767d04414482dc3996e66ca39396d310","permalink":"https://roth-lab.github.io/project/pyclone-vi/","publishdate":"2021-07-23T00:00:00Z","relpermalink":"/project/pyclone-vi/","section":"project","summary":"PyClone-VI is a fast method for inferring clonal population structure.","tags":["Statistical machine learning"],"title":"Pyclone-vi","type":"project"},{"authors":[],"categories":[],"content":"Create slides in Markdown with Wowchemy Wowchemy | Documentation\n Features Efficiently write slides in Markdown 3-in-1: Create, Present, and Publish your slides Supports speaker notes Mobile friendly slides Controls Next: Right Arrow or Space Previous: Left Arrow Start: Home Finish: End Overview: Esc Speaker notes: S Fullscreen: F Zoom: Alt + Click PDF Export: E Code Highlighting Inline code: variable\nCode block:\nporridge = \u0026quot;blueberry\u0026quot; if porridge == \u0026quot;blueberry\u0026quot;: print(\u0026quot;Eating...\u0026quot;) Math In-line math: $x + y = z$\nBlock math:\n$$ f\\left( x \\right) = ;\\frac{{2\\left( {x + 4} \\right)\\left( {x - 4} \\right)}}{{\\left( {x + 4} \\right)\\left( {x + 1} \\right)}} $$\n Fragments Make content appear incrementally\n{{% fragment %}} One {{% /fragment %}} {{% fragment %}} **Two** {{% /fragment %}} {{% fragment %}} Three {{% /fragment %}} Press Space to play!\nOne Two Three \n A fragment can accept two optional parameters:\n class: use a custom style (requires definition in custom CSS) weight: sets the order in which a fragment appears Speaker Notes Add speaker notes to your presentation\n{{% speaker_note %}} - Only the speaker can read these notes - Press `S` key to view {{% /speaker_note %}} Press the S key to view the speaker notes!\n Only the speaker can read these notes Press S key to view Themes black: Black background, white text, blue links (default) white: White background, black text, blue links league: Gray background, white text, blue links beige: Beige background, dark text, brown links sky: Blue background, thin dark text, blue links night: Black background, thick white text, orange links serif: Cappuccino background, gray text, brown links simple: White background, black text, blue links solarized: Cream-colored background, dark green text, blue links Custom Slide Customize the slide style and background\n{{\u0026lt; slide background-image=\u0026quot;/media/boards.jpg\u0026quot; \u0026gt;}} {{\u0026lt; slide background-color=\u0026quot;#0000FF\u0026quot; \u0026gt;}} {{\u0026lt; slide class=\u0026quot;my-style\u0026quot; \u0026gt;}} Custom CSS Example Let\u0026rsquo;s make headers navy colored.\nCreate assets/css/reveal_custom.css with:\n.reveal section h1, .reveal section h2, .reveal section h3 { color: navy; } Questions? Ask\nDocumentation\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1549324800,"objectID":"0e6de1a61aa83269ff13324f3167c1a9","permalink":"https://roth-lab.github.io/slides/example/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/slides/example/","section":"slides","summary":"An introduction to using Wowchemy's Slides feature.","tags":[],"title":"Slides","type":"slides"},{"authors":["Andrew Roth, et al."],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Create your slides in Markdown - click the Slides button to check out the example. Supplementary notes can be added here, including code, math, and images.\n","date":1394928000,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1394928000,"objectID":"31262ed4d82849840cff40342908a597","permalink":"https://roth-lab.github.io/publication/pyclone/","publishdate":"2014-03-16T00:00:00Z","relpermalink":"/publication/pyclone/","section":"publication","summary":"PyClone is a statistical model for inference of clonal population structures in cancers.","tags":[],"title":"PyClone","type":"publication"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"f26b5133c34eec1aa0a09390a36c2ade","permalink":"https://roth-lab.github.io/admin/config.yml","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/admin/config.yml","section":"","summary":"","tags":null,"title":"","type":"wowchemycms"}]