7184 results for "canc*"

in 14.44 milliseconds.

• Single Cell Genome Sequence for DLP+ library A96187A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 11, patient-derived xenograft SA609 passage 7 on DLP+ library A96187A

  Dataset EGAD00001009464

• Single Cell Genome Sequence for DLP+ library A98181A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA919 passage 7, patient-derived xenograft SA1050A passage 1 on DLP+ library A98181A

  Dataset EGAD00001009479

• Single Cell Genome Sequence for DLP+ library A96213A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA501 passage 6, cell line SA1090 on DLP+ library A96213A

  Dataset EGAD00001009477

• Single Cell Genome Sequence for DLP+ library A96141A

  Single Cell Genome Sequence for triple negative breast cancer patient-derived xenograft SA604 passage 8 on DLP+ library A96141A

  Dataset EGAD00001009513

• Tumour sample for patient SA211

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA211

  Dataset EGAD00001009523

• Genome and transcriptome sequence data from a merkel cell carcinoma patient

  Genome and transcriptome sequence data from a merkel cell carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010955

• Tumour sample for patient SA214

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009529

• Tumour sample for patient SA225

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA225

  Dataset EGAD00001009531

• Tumour sample for patient SA285

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA285

  Dataset EGAD00001009543

• Normal sample for patient SA214

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA214

  Dataset EGAD00001009547

• Normal sample for patient SA277

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA277

  Dataset EGAD00001009560

• A standardised framework for robust fragmentomic feature extraction from cell-free DNA sequencing data

  Fragmentomic features of cell-free DNA represent promising non-invasive biomarkers for cancer diagnosis. However, a lack of systematic evaluation of biases in feature quantification has hindered the adoption of such applications. We compared features derived from whole-genome sequencing of ten healthy donors using nine library kits and ten data-processing routes, and validated them in 1,182 plasma samples from published studies. Our results clarify the variations resulting from library preparation and feature quantification methods. We designed the Trim Align Pipeline and the cfDNAPro R package as unified interfaces for data pre-processing, feature extraction, and visualisation, aiming to standardise multimodal feature engineering and integration for machine learning.

  Dataset EGAD00001015535

• Normal sample for patient SA400

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA400

  Dataset EGAD00001009568

• Peripheral clonal expansion of T cells (scTCR-seq)

  Single-cell TCR-seq of tumor-infiltrating lymphocytes from 14 cancer patients before treatment, taken from tumor, normal adjacent tissue, and peripheral blood. Dataset consists of paired-end FASTQ files, including replicate libraries and runs.

  Dataset EGAD00001005465

• Normal sample for patient SA998

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA998

  Dataset EGAD00001009574

• Normal sample for patient SA1064

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1064

  Dataset EGAD00001009591

• Normal sample for patient SA1065

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1065

  Dataset EGAD00001009592

• Normal sample for patient SA1074

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA1074

  Dataset EGAD00001009595

• Normal sample for patient SA610

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA610

  Dataset EGAD00001009597

• Tumour sample for patient SA1064

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA1064

  Dataset EGAD00001009606

• Tumour sample for patient SA1017

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA1017

  Dataset EGAD00001009609

• Genome and transcriptome sequence data from a metastatic lymphoepithelial carcinoma of the parotid gland patient

  Genome and transcriptome sequence data from a metastatic lymphoepithelial carcinoma of the parotid gland patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010993

• Tumour sample for patient SA1073

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA1073

  Dataset EGAD00001009611

• Tumour sample for patient SA576

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA576

  Dataset EGAD00001009613

• Genome and transcriptome sequence data from a prostate adenocarcinoma patient

  Genome and transcriptome sequence data from a prostate adenocarcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010988