Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology
Latest Publications

TOTAL DOCUMENTS

20

(FIVE YEARS 20)

H-INDEX

2

(FIVE YEARS 2)

Published By Springer US

9781071603260, 9781071603277

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_17 ◽

2020 ◽

pp. 233-248

Author(s):

Julien Racle ◽

David Gfeller

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Expression Data ◽

Different Cell Types

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In Silico Cell-Type Deconvolution Methods in Cancer Immunotherapy

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_15 ◽

2020 ◽

pp. 213-222

Author(s):

Gregor Sturm ◽

Francesca Finotello ◽

Markus List

Keyword(s):

Cancer Immunotherapy ◽

In Silico ◽

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Identification of Epitope-Specific T Cells in T-Cell Receptor Repertoires

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_13 ◽

2020 ◽

pp. 183-195

Author(s):

Sofie Gielis ◽

Pieter Moris ◽

Wout Bittremieux ◽

Nicolas De Neuter ◽

Benson Ogunjimi ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

T Cell Receptor ◽

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The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_12 ◽

2020 ◽

pp. 173-181 ◽

Author(s):

Wenguang Shao ◽

Etienne Caron ◽

Patrick Pedrioli ◽

Ruedi Aebersold

Keyword(s):

Data Repository ◽

Computational Pipeline

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Rapid High-Resolution Typing of Class I HLA Genes by Nanopore Sequencing

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_6 ◽

2020 ◽

pp. 93-99 ◽

Author(s):

Chang Liu ◽

Rick Berry

Keyword(s):

High Resolution ◽

Class I ◽

Nanopore Sequencing ◽

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HLA Typing from RNA Sequencing and Applications to Cancer

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_5 ◽

2020 ◽

pp. 71-92 ◽

Author(s):

Rose Orenbuch ◽

Ioan Filip ◽

Raul Rabadan

Keyword(s):

Rna Sequencing ◽

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SomaticSeq: An Ensemble and Machine Learning Method to Detect Somatic Mutations

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_4 ◽

2020 ◽

pp. 47-70

Author(s):

Li Tai Fang

Keyword(s):

Machine Learning ◽

Somatic Mutations ◽

Machine Learning Method ◽

Learning Method

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Immunedeconv: An R Package for Unified Access to Computational Methods for Estimating Immune Cell Fractions from Bulk RNA-Sequencing Data

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_16 ◽

2020 ◽

pp. 223-232 ◽

Author(s):

Gregor Sturm ◽

Francesca Finotello ◽

Markus List

Keyword(s):

Rna Sequencing ◽

Computational Methods ◽

Immune Cell ◽

R Package ◽

Sequencing Data ◽

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Improving MHC-I Ligand Identification by Incorporating Targeted Searches of Mass Spectrometry Data

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_11 ◽

2020 ◽

pp. 161-171

Author(s):

Prathyusha Konda ◽

J. Patrick Murphy ◽

Shashi Gujar

Keyword(s):

Mass Spectrometry ◽

Mass Spectrometry Data ◽

Mhc I ◽

Ligand Identification

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OpenVax: An Open-Source Computational Pipeline for Cancer Neoantigen Prediction

Bioinformatics for Cancer Immunotherapy - Methods in Molecular Biology ◽

10.1007/978-1-0716-0327-7_10 ◽

2020 ◽

pp. 147-160 ◽

Author(s):

Julia Kodysh ◽

Alex Rubinsteyn

Keyword(s):

Open Source ◽

Computational Pipeline

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