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The Prostate
|
July 27, 2007
High resolution oligonucleotide CGH using DNA from archived prostate tissue
Pamela L Paris, Shivaranjani Sridharan, Alicia Scheffer, et al.
Genome Research
|
June 30, 2012
nFuse: discovery of complex genomic rearrangements in cancer using high-throughput sequencing
Andrew McPherson, Chunxiao Wu, Alexander W Wyatt, et al.
Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B
|
November 29, 2007
Evaluation of whole genome amplification protocols for array and oligonucleotide CGH
Adam Hittelman, Shivaranjani Sridharan, Ritu Roy, et al.
Urologic Oncology
|
January 19, 2015
Bcl-2 predicts response to neoadjuvant chemotherapy and is overexpressed in lymph node metastases of urothelial cancer of the bladder
Bernhard Kiss, Veronika Skuginna, Achim Fleischmann, et al.
Frontiers in Genetics
|
December 16, 2020
Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer
Benjamin Vittrant, Mickael Leclercq, Marie-Laure Martin-Magniette, et al.
Carcinogenesis
|
December 28, 2018
Modeling human prostate cancer progression in vitro
Teresa T Liu, Jonathan A Ewald, Emily A Ricke, et al.
Histopathology
|
December 22, 2025
Well-differentiated papillary mesothelial tumour: histologic, molecular and genetic features support a benign clonal neoplasm despite diffuse peritoneal involvement
Charles Leduc, Kurosh Rahimi, Frédéric Mercier, et al.
Oncotarget
|
October 6, 2017
Establishment of a neuroendocrine prostate cancer model driven by the RNA splicing factor SRRM4
Yinan Li, Ruiqi Chen, Mary Bowden, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
December 24, 2009
A group of genome-based biomarkers that add to a Kattan nomogram for predicting progression in men with high-risk prostate cancer
Pamela L Paris, Vivian Weinberg, Giancarlo Albo, et al.
Bioinformatics (Oxford, England)
|
February 23, 2024
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks
Yuzhen Mao, Yen-Yi Lin, Nelson K Y Wong, et al.
Page
of 9
Search research articles
Search
Showing results (11-20 of 88) with videos related to
Sort By:
Page
of 9
The Prostate
|
July 27, 2007
High resolution oligonucleotide CGH using DNA from archived prostate tissue
Pamela L Paris, Shivaranjani Sridharan, Alicia Scheffer, et al.
Genome Research
|
June 30, 2012
nFuse: discovery of complex genomic rearrangements in cancer using high-throughput sequencing
Andrew McPherson, Chunxiao Wu, Alexander W Wyatt, et al.
Diagnostic Molecular Pathology : the American Journal of Surgical Pathology, Part B
|
November 29, 2007
Evaluation of whole genome amplification protocols for array and oligonucleotide CGH
Adam Hittelman, Shivaranjani Sridharan, Ritu Roy, et al.
Urologic Oncology
|
January 19, 2015
Bcl-2 predicts response to neoadjuvant chemotherapy and is overexpressed in lymph node metastases of urothelial cancer of the bladder
Bernhard Kiss, Veronika Skuginna, Achim Fleischmann, et al.
Frontiers in Genetics
|
December 16, 2020
Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer
Benjamin Vittrant, Mickael Leclercq, Marie-Laure Martin-Magniette, et al.
Carcinogenesis
|
December 28, 2018
Modeling human prostate cancer progression in vitro
Teresa T Liu, Jonathan A Ewald, Emily A Ricke, et al.
Histopathology
|
December 22, 2025
Well-differentiated papillary mesothelial tumour: histologic, molecular and genetic features support a benign clonal neoplasm despite diffuse peritoneal involvement
Charles Leduc, Kurosh Rahimi, Frédéric Mercier, et al.
Oncotarget
|
October 6, 2017
Establishment of a neuroendocrine prostate cancer model driven by the RNA splicing factor SRRM4
Yinan Li, Ruiqi Chen, Mary Bowden, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
December 24, 2009
A group of genome-based biomarkers that add to a Kattan nomogram for predicting progression in men with high-risk prostate cancer
Pamela L Paris, Vivian Weinberg, Giancarlo Albo, et al.
Bioinformatics (Oxford, England)
|
February 23, 2024
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks
Yuzhen Mao, Yen-Yi Lin, Nelson K Y Wong, et al.
Page
of 9