Machine Learning Guided Signal Enrichment for Plasma Tumor-burden Monitoring Dataset
Includes 4 Datasets: 1. 35 Control Plasma WGS samples sequenced on NovaSeq V1.0 Chemistry at the New York Genome Center. Denoted by CTRL-2XX naming scheme. 2. Plasma WGS from 17 patients with Small Cell Lung Cancer. Samples extracted at either Pretreatment or Postoperative at weeks 2 or 3. Denoted by SCLC-XX naming scheme. 3. Plasma WGS from a synthetic mixing study of a high-burden melanoma plasma sample with plasma bag, at estimated tumor concentrations of 10e-3, 10e-4, 10e-5, and 10e-6 for 2 replicates. Denoted by SM-repX naming scheme. 4. Assorted Plasma, Tumor, and Normal WGS from patients with NSCLC expressing high-burden for use in model training. Denoted by NSCLC-2XX naming scheme.
- 83 samples
- DAC: EGAC00001003413
- Technology: Illumina NovaSeq 6000
Data will be made available to any bona fide researcher employed at a company or institution of good standing, subject to US data export laws and regulations, who agrees to the data access agreement and intends to use the Data to interpret, verify, or extend the research in the article in which the Data were first published.
Data will be made available to any bona fide researcher employed at a company or institution of good standing, subject to US data export laws and regulations, who agrees to the data access agreement and intends to use the Data to interpret, verify, or extend the research in the article in which the Data were first published. The data access agreement forbids licensing or sale of Data or the offering of a service or other product using Data, including any larger set into which Data has been incorporated.
Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.
| Study ID | Study Title | Study Type |
|---|---|---|
| Other |