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Plos One
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March 4, 2014
Single-cell states in the estrogen response of breast cancer cell lines
Francesco Paolo Casale, Giorgio Giurato, Giovanni Nassa, et al.
Bioinformatics (Oxford, England)
|
August 28, 2012
Bayesian inference of signaling network topology in a cancer cell line
Steven M Hill, Yiling Lu, Jennifer Molina, et al.
Iscience
|
January 10, 2020
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, et al.
Molecular Oncology
|
April 22, 2025
Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data
Rong Zhu, Katherine Eason, Suet-Feung Chin, et al.
Nucleic Acids Research
|
July 18, 2006
Next station in microarray data analysis: GEPAS
David Montaner, Joaquín Tárraga, Jaime Huerta-Cepas, et al.
Elife
|
August 31, 2022
Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state
Caterina Carraro, Lorenzo Bonaguro, Jonas Schulte-Schrepping, et al.
Cell Systems
|
December 27, 2016
Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling
Steven M Hill, Nicole K Nesser, Katie Johnson-Camacho, et al.
NPJ Systems Biology and Applications
|
July 21, 2017
Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers
Tyler J Moss, Zijun Luo, Elena G Seviour, et al.
Iscience
|
October 31, 2022
Human variation in population-wide gene expression data predicts gene perturbation phenotype
Lorenzo Bonaguro, Jonas Schulte-Schrepping, Caterina Carraro, et al.
Plos One
|
July 17, 2015
Decoupling of the PI3K Pathway via Mutation Necessitates Combinatorial Treatment in HER2+ Breast Cancer
James E Korkola, Eric A Collisson, Laura Heiser, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 35) with videos related to
Sort By:
Page
of 4
Plos One
|
March 4, 2014
Single-cell states in the estrogen response of breast cancer cell lines
Francesco Paolo Casale, Giorgio Giurato, Giovanni Nassa, et al.
Bioinformatics (Oxford, England)
|
August 28, 2012
Bayesian inference of signaling network topology in a cancer cell line
Steven M Hill, Yiling Lu, Jennifer Molina, et al.
Iscience
|
January 10, 2020
Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, et al.
Molecular Oncology
|
April 22, 2025
Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data
Rong Zhu, Katherine Eason, Suet-Feung Chin, et al.
Nucleic Acids Research
|
July 18, 2006
Next station in microarray data analysis: GEPAS
David Montaner, Joaquín Tárraga, Jaime Huerta-Cepas, et al.
Elife
|
August 31, 2022
Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state
Caterina Carraro, Lorenzo Bonaguro, Jonas Schulte-Schrepping, et al.
Cell Systems
|
December 27, 2016
Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling
Steven M Hill, Nicole K Nesser, Katie Johnson-Camacho, et al.
NPJ Systems Biology and Applications
|
July 21, 2017
Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers
Tyler J Moss, Zijun Luo, Elena G Seviour, et al.
Iscience
|
October 31, 2022
Human variation in population-wide gene expression data predicts gene perturbation phenotype
Lorenzo Bonaguro, Jonas Schulte-Schrepping, Caterina Carraro, et al.
Plos One
|
July 17, 2015
Decoupling of the PI3K Pathway via Mutation Necessitates Combinatorial Treatment in HER2+ Breast Cancer
James E Korkola, Eric A Collisson, Laura Heiser, et al.
Page
of 4