Search Tips
of 1 Next >
Results Found: 3
  • Mixed cfDNA (MSKCC, 2020): IMPACT sequencing of 229 cell-free DNA (cfDNA) and associated tumor samples with matched normal

    Description

    This dataset contains the summary data visualizations and clinical data of IMPACT sequencing of 229 cell-free DNA (cfDNA) and associated tumor samples with matched normal from 118 patients. Clinical data includes: Cancer Type, Number of Samples Per Patient, Mutation Count, Fraction Genome Altered, Sex, Primary/Metastasis Sample Type, Collaboration Id, Gene Panel, Oncotree Code, Tumor/cfDNA Sample...

    Subject
    Adenocarcinoma
    Adenocarcinoma of Lung
    Breast Neoplasms
    Carcinoma, Ductal, Breast
    Carcinoma, Neuroendocrine
    Carcinoma, Renal Cell
    Carcinoma, Squamous Cell
    Cell-Free Nucleic Acids
    Choriocarcinoma
    Endodermal Sinus Tumor
    Melanoma
    Neoplasms, Germ Cell and Embryonal
    Neoplasms, Squamous Cell
    Neuroendocrine Tumors
    Prostatic Neoplasms
    Seminoma
    Small Cell Lung Carcinoma
    Urinary Bladder Neoplasms
    Access Rights
    Free to All
  • Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining

    Authors
    Nanayakkara, Jina
    Yang, Xiaojing
    Tyryshkin, Kathrin
    Wong, Justin J.M.
    14 more author(s)...
    Description

    From Dryad entry: "Abstract Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classify cancers. Recently, a morphology-based classification framework for evaluating NENs from different anatomic sites was proposed by experts, with the requirement of improved...

    Subject
    MicroRNAs
    Neuroendocrine Tumors
    Sequence Analysis, RNA
    Access Rights
    Free to All
  • Pretrained models for 3D segmentation of neuroendocrine tumors in PET/CT with nnU-Net

    Authors
    Santilli, Alice
    Panyam, Prashanth
    Autz, Arthur
    Wray, Rick
    4 more author(s)...
    Description

    Description from Zenodo: "In this repository we share models trained on a large annotated dataset of PET DOTATATE images using the nnU-Net V1 pipeline. This version of the pipeline can be found here. Given the modularity of the nnU-net framework, we make these models public with the hopes of allowing other institutions to benefit from our pre-training and to improve upon and verify the generalizability...

    Subject
    Image Processing, Computer-Assisted
    Neuroendocrine Tumors
    Positron Emission Tomography Computed Tomography
    Access Rights
    Free to All