Shayantan Banerjee
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View article: Tumor-Infiltrating Lymphocytes Display Prognostic Signatures Associated with Chemotherapy Response in TNBC Patients
Tumor-Infiltrating Lymphocytes Display Prognostic Signatures Associated with Chemotherapy Response in TNBC Patients Open
Triple-negative breast cancer (TNBC) is an aggressive subtype often marked by resistance to neoadjuvant chemotherapy (NAC), making treatment particularly challenging. Tumor-infiltrating lymphocytes (TILs), crucial players in the immune lan…
View article: Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness
Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness Open
View article: Machine learning driven identification of gene-expression signatures correlated with multiple organ dysfunction trajectories and complex sub-endotypes of pediatric septic shock
Machine learning driven identification of gene-expression signatures correlated with multiple organ dysfunction trajectories and complex sub-endotypes of pediatric septic shock Open
Background Multiple organ dysfunction syndrome (MODS) disproportionately drives sepsis morbidity and mortality among children. The biology of this heterogeneous syndrome is complex, dynamic, and incompletely understood. Gene expression sig…
View article: iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data Open
Despite the tremendous increase in omics data generated by modern sequencing technologies, their analysis can be tricky and often requires substantial expertise in bioinformatics. To address this concern, we have developed a user-friendly …
View article: iCOMIC
iCOMIC Open
In this directory, we have provided all the necessary files needed to run the tool iCOMIC. The iCOMIC GUI is an integrated interface designed to perform data analysis and interpretation of -omics datasets. It contains two machine learning …
View article: iCOMIC
iCOMIC Open
In this directory, we have provided all the necessary files needed to run the tool iCOMIC. The iCOMIC GUI is an integrated interface designed to perform data analysis and interpretation of -omics datasets. It contains two machine learning …
View article: iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data
iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data Open
Despite the tremendous increase in omics data generated by modern sequencing technologies, their analysis can be tricky and often requires substantial expertise in bioinformatics. To address this concern, we have developed a user-friendly …
View article: Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes Open
Identifying cancer-causing mutations from sequenced cancer genomes hold much promise for targeted therapy and precision medicine. “Driver” mutations are primarily responsible for cancer progression, while “passengers” are functionally neut…
View article: Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission Open
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) usually includes multiorgan dysfunction and subsequent death. Owing to the heterogeneity, complexity, and unpredictability of the disease p…
View article: Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes
Sequence neighborhoods enable reliable prediction of pathogenic mutations in cancer genomes Open
Identifying cancer-causing mutations from sequenced cancer genomes hold much promise for targeted therapy and precision medicine. “Driver” mutations are primarily responsible for cancer progression, while “passengers” are functionally neut…
View article: Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 Hours post ICU admission
Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 Hours post ICU admission Open
A complicated clinical course for critically ill patients admitted to the ICU usually includes multiorgan dysfunction and subsequent death. Owning to the heterogeneity, complexity, and unpredictability of the disease progression, patient c…