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December 30, 2025
What Do Single-Cell Models Already Know About Perturbations?
Andreas Bjerregaard, Iñigo Prada-Luengo, Vivek Das, et al.
Frontiers in Molecular Biosciences
|
June 9, 2023
Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease
Chayan Maitra, Dibyendu B Seal, Vivek Das, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
February 26, 2026
NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework
Chayan Maitra, Dibyendu B Seal, Vivek Das, et al.
Genomics
|
April 3, 2020
Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration
Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, et al.
Frontiers in Genetics
|
December 28, 2020
State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing
Michal Krassowski, Vivek Das, Sangram K Sahu, et al.
Plant Science : an International Journal of Experimental Plant Biology
|
August 11, 2020
Short-term effects of the allelochemical umbelliferone on Triticum durum L. metabolism through GC-MS based untargeted metabolomics
Biswapriya B Misra, Vivek Das, M Landi, et al.
Nucleic Acids Research
|
May 19, 2016
RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods
Pierre-Luc Germain, Alessandro Vitriolo, Antonio Adamo, et al.
The American Journal of Pathology
|
August 3, 2024
Single-Cell Advances in Investigating and Understanding Chronic Kidney Disease and Diabetic Kidney Disease
Sagar Bhayana, Philip A Schytz, Emma T Bisgaard Olesen, et al.
Plos One
|
May 20, 2024
Identification of ligand and receptor interactions in CKD and MASH through the integration of single cell and spatial transcriptomics
Jaime Moreno, Lise Lotte Gluud, Elisabeth D Galsgaard, et al.
Frontiers in Bioinformatics
|
April 11, 2024
A systematic evaluation of state-of-the-art deconvolution methods in spatial transcriptomics: insights from cardiovascular disease and chronic kidney disease
Alban Obel Slabowska, Charles Pyke, Henning Hvid, et al.
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Search research articles
Search
Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
Genes
|
December 30, 2025
What Do Single-Cell Models Already Know About Perturbations?
Andreas Bjerregaard, Iñigo Prada-Luengo, Vivek Das, et al.
Frontiers in Molecular Biosciences
|
June 9, 2023
Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease
Chayan Maitra, Dibyendu B Seal, Vivek Das, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
February 26, 2026
NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework
Chayan Maitra, Dibyendu B Seal, Vivek Das, et al.
Genomics
|
April 3, 2020
Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration
Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, et al.
Frontiers in Genetics
|
December 28, 2020
State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing
Michal Krassowski, Vivek Das, Sangram K Sahu, et al.
Plant Science : an International Journal of Experimental Plant Biology
|
August 11, 2020
Short-term effects of the allelochemical umbelliferone on Triticum durum L. metabolism through GC-MS based untargeted metabolomics
Biswapriya B Misra, Vivek Das, M Landi, et al.
Nucleic Acids Research
|
May 19, 2016
RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods
Pierre-Luc Germain, Alessandro Vitriolo, Antonio Adamo, et al.
The American Journal of Pathology
|
August 3, 2024
Single-Cell Advances in Investigating and Understanding Chronic Kidney Disease and Diabetic Kidney Disease
Sagar Bhayana, Philip A Schytz, Emma T Bisgaard Olesen, et al.
Plos One
|
May 20, 2024
Identification of ligand and receptor interactions in CKD and MASH through the integration of single cell and spatial transcriptomics
Jaime Moreno, Lise Lotte Gluud, Elisabeth D Galsgaard, et al.
Frontiers in Bioinformatics
|
April 11, 2024
A systematic evaluation of state-of-the-art deconvolution methods in spatial transcriptomics: insights from cardiovascular disease and chronic kidney disease
Alban Obel Slabowska, Charles Pyke, Henning Hvid, et al.
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