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Faeze Keshavarz-Rahaghi

Showing results (1-10 of 4) with videos related to

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BMC Biology|August 8, 2025
Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learningFaeze Keshavarz-Rahaghi, Erin Pleasance, Steven J M Jones
Frontiers in Genetics|September 22, 2022
A p53 transcriptional signature in primary and metastatic cancers derived using machine learningFaeze Keshavarz-Rahaghi, Erin Pleasance, Tyler Kolisnik, et al.
Briefings in Functional Genomics|October 7, 2024
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in RTyler Kolisnik, Faeze Keshavarz-Rahaghi, Rachel V Purcell, et al.
Therapeutic Advances in Medical Oncology|June 13, 2022
Characterizing the <i>KRAS</i> G12C mutation in metastatic colorectal cancer: a population-based cohort and assessment of expression differences in The Cancer Genome AtlasMeredith Li, Faeze Keshavarz-Rahaghi, Gale Ladua, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
BMC Biology|August 8, 2025
Transcriptional patterns of cancer-related genes in primary and metastatic tumours revealed by machine learningFaeze Keshavarz-Rahaghi, Erin Pleasance, Steven J M Jones
Frontiers in Genetics|September 22, 2022
A p53 transcriptional signature in primary and metastatic cancers derived using machine learningFaeze Keshavarz-Rahaghi, Erin Pleasance, Tyler Kolisnik, et al.
Briefings in Functional Genomics|October 7, 2024
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in RTyler Kolisnik, Faeze Keshavarz-Rahaghi, Rachel V Purcell, et al.
Therapeutic Advances in Medical Oncology|June 13, 2022
Characterizing the <i>KRAS</i> G12C mutation in metastatic colorectal cancer: a population-based cohort and assessment of expression differences in The Cancer Genome AtlasMeredith Li, Faeze Keshavarz-Rahaghi, Gale Ladua, et al.
Pageof 1