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UnknownIntegrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response.
Not available
S-EPMC10821267 | biostudies-literature
TranscriptomicsMolecular profiling of tumor-specific Th1 cells activated in vivo
Expression data from mouse tumor-specific CD4+ T cells The central role of tumor-specific Th1 cells in fighting cancer is becoming increasingly appreciated. However, little is known about how these cells are generated in vivo. Here, we used flow cytometry and gene expression microarrays to character...
ORGANISM(S): Mus musculus 
2013-05-15 | E-GEOD-46453 | biostudies-arrayexpress
UnknownNeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer.
Not available
S-EPMC6524241 | biostudies-literature
UnknownArtificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs.
Not available
S-EPMC7758335 | biostudies-literature
TranscriptomicsMembranous Expression of Ectodomain Isoforms of the Epidermal Growth Factor Receptor (EGFR) Predicts Outcome after Chemoradiotherapy of Lymph Node Negative Cervical Cancer
We compared the prognostic significance of ectodomain isoforms of the epidermal growth factor receptor (EGFR), which lack the tyrosine kinase (TK) domain, with that of the full length receptor and its autophosphorylation status in cervical cancers treated with conventional chemoradiotherapy. We furt...
ORGANISM(S): Homo sapiens 
2011-07-18 | E-GEOD-29817 | biostudies-arrayexpress
TranscriptomicsMelanoma experimental metastasis model
Application of a melanoma experimental metastasis model to elucidate molecular mediators of melanoma brain metastasis. Malignant melanoma frequently metastasizes to the brain. The molecular mediators of brain metastasis still remains largely unknnown. Two melanoma cell lines (opposing phenotypes in ...
ORGANISM(S): Homo sapiens 
2014-02-26 | E-MTAB-2065 | biostudies-arrayexpress
TranscriptomicsIdentification of eight candidate target genes of the prognsotic 3p loss in cervical cancer by integrative genomic profiling
We performed integrative gene dosage and expression profiling to identify candidate target genes of the prognostic 3p loss in cervical cancer. Candidate target genes were proposed from the correlation between gene dosage and gene expression. Combined network, gene set, and gene ontology analysis of ...
ORGANISM(S): Homo sapiens 
2013-02-28 | E-GEOD-38964 | biostudies-arrayexpress
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