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GeneVector: Identification of transcriptional programs using dense vector representations defined by mutual information
View ORCID ProfileNicholas Ceglia, View ORCID ProfileZachary Sethna, View ORCID ProfileFlorian Uhlitz, Viktoria Bojilova, View ORCID ProfileNicole Rusk, View ORCID ProfileBharat Burman, View ORCID ProfileAndrew Chow, Sohrab Salehi, View ORCID ProfileFarhia Kabeer, View ORCID ProfileSamuel Aparicio, View ORCID ProfileBenjamin Greenbaum, View ORCID ProfileSohrab P. Shah, View ORCID ProfileAndrew McPherson
doi: https://doi.org/10.1101/2022.04.22.487554
Nicholas Ceglia
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Zachary Sethna
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Florian Uhlitz
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Viktoria Bojilova
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Nicole Rusk
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Bharat Burman
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Andrew Chow
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Sohrab Salehi
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Farhia Kabeer
bDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
cDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
Samuel Aparicio
bDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
cDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
Benjamin Greenbaum
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Sohrab P. Shah
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Andrew McPherson
aComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Article usage
Posted May 02, 2022.
GeneVector: Identification of transcriptional programs using dense vector representations defined by mutual information
Nicholas Ceglia, Zachary Sethna, Florian Uhlitz, Viktoria Bojilova, Nicole Rusk, Bharat Burman, Andrew Chow, Sohrab Salehi, Farhia Kabeer, Samuel Aparicio, Benjamin Greenbaum, Sohrab P. Shah, Andrew McPherson
bioRxiv 2022.04.22.487554; doi: https://doi.org/10.1101/2022.04.22.487554
GeneVector: Identification of transcriptional programs using dense vector representations defined by mutual information
Nicholas Ceglia, Zachary Sethna, Florian Uhlitz, Viktoria Bojilova, Nicole Rusk, Bharat Burman, Andrew Chow, Sohrab Salehi, Farhia Kabeer, Samuel Aparicio, Benjamin Greenbaum, Sohrab P. Shah, Andrew McPherson
bioRxiv 2022.04.22.487554; doi: https://doi.org/10.1101/2022.04.22.487554
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