A semi supervised deconvolution method for quantifying the composition and activity of tumor infiltrating cell types.

title = “A publication title, such as title of a paper”

# Date first published.

date = “2013-07-01”

# Authors. Comma separated list, e.g. ["Bob Smith", "David Jones"].

authors = [“First author’s name”, “Second author’s name”]

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# Legend:

# 0 = Uncategorized

# 1 = Conference proceedings

# 2 = Journal

# 3 = Work in progress

# 4 = Technical report

# 5 = Book

# 6 = Book chapter

publication_types = [“1”]

# Publication name and optional abbreviated version.

publication = “In International Conference on Academic. You may use Markdown for italics etc.”

publication_short = “In ICA

# Abstract and optional shortened version.

abstract = “The abstract. Markdown and math can be used (note that math may require escaping as detailed in the red alert box below).”

abstract_short = “A short version of the abstract.”

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selected = true

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# E.g. projects = ["deep-learning"] references content/project/deep-learning.md.

projects = []

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url_pdf = “pdf/my-paper-name.pdf”

url_preprint = "”

url_code = "”

url_dataset = "”

url_project = "”

url_slides = "”

url_video = "”

url_poster = "”

url_source = "”

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math = true

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highlight = true

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[header]

image = “headers/bubbles-wide.jpg”

caption = “My caption 😄”