Results 21 to 30 of about 184,470 (334)

Chromoanagenesis landscape in 10,000 TCGA patients [PDF]

open access: yesCancers, 2021
AbstractDuring the past decade, whole-genome sequencing of tumor biopsies and individuals with congenital disorders highlighted the phenomenon of chromoanagenesis, a single chaotic event of chromosomal rearrangement. Chromoanagenesis was shown to be frequent in many types of cancers, to occur in early stages of cancer development, and significantly ...
Roni Rasnic, Michal Linial
openaire   +4 more sources

TCGAplot: an R package for integrative pan-cancer analysis and visualization of TCGA multi-omics data

open access: yesBMC Bioinformatics, 2023
Background Pan-cancer analysis examines both the commonalities and heterogeneity among genomic and cellular alterations across numerous types of tumors.
Chenqi Liao, Xiong Wang
semanticscholar   +1 more source

Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications

open access: yesLife, 2023
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain cells in the tumor grow abnormally and badly affect the surrounding brain cells.
Abdullah A. Asiri   +10 more
semanticscholar   +1 more source

Molecular Profiling of Endometrial Cancer From TCGA to Clinical Practice.

open access: yesThe Journal of the National Comprehensive Cancer Network, 2023
Molecular classification provides an objective, reproducible framework for categorization of endometrial cancers (ECs), informing prognosis and selection of therapy.
A. Jamieson, J. McAlpine
semanticscholar   +1 more source

HER2 expression, copy number variation and survival outcomes in HER2-low non-metastatic breast cancer: an international multicentre cohort study and TCGA-METABRIC analysis

open access: yesBMC Medicine, 2022
HER2-low breast cancer (BC) is currently an area of active interest. This study evaluated the impact of low expression of HER2 on survival outcomes in HER2-negative non-metastatic breast cancer (BC).
R. Tan   +22 more
semanticscholar   +1 more source

TCGA Molecular Prognostic Groups of Endometrial Carcinoma: Current Knowledge and Future Perspectives

open access: yesInternational Journal of Molecular Sciences, 2022
The four TCGA-based molecular prognostic groups of endometrial carcinoma (EC), i.e., POLE-mutant, mismatch repair (MMR)-deficient, p53-abnormal, and “no specific molecular profile” (NSMP), have recently been integrated into ESGO-ESTRO-ESP guidelines. The
D. Arciuolo   +12 more
semanticscholar   +1 more source

TCGA-Assembler: open-source software for retrieving and processing TCGA data [PDF]

open access: yesNature Methods, 2014
To the Editor: The Cancer Genome Atlas (TCGA) has been generating multi-modal genomics, epigenomics, and proteomics data for thousands of tumor samples across more than 20 types of cancer. While the access to most level-1 and -2 TCGA data is restricted, the entire level-3 TCGA data as well as some level-1 clinical data (e.g., survival and drug ...
Peng Qiu, Yitan Zhu, Yuan Ji
openaire   +3 more sources

Integration of scRNA-Seq and TCGA RNA-Seq to Analyze the Heterogeneity of HPV+ and HPV- Cervical Cancer Immune Cells and Establish Molecular Risk Models

open access: yesFrontiers in Oncology, 2022
Background Numerous studies support that Human papillomavirus (HPV) can cause cervical cancer. However, few studies have surveyed the heterogeneity of HPV infected or uninfected (HPV+ and HPV-) cervical cancer (CESC) patients.
Erdong Wei   +5 more
semanticscholar   +1 more source

TCGA-assembler 2: software pipeline for retrieval and processing of TCGA/CPTAC data [PDF]

open access: yesBioinformatics, 2017
Abstract Motivation The Cancer Genome Atlas (TCGA) program has produced huge amounts of cancer genomics data providing unprecedented opportunities for research. In 2014, we developed TCGA-Assembler, a software pipeline for retrieval and processing of public TCGA data.
Yitan Zhu   +6 more
openaire   +4 more sources

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