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Payam Dibaeinia

Showing results (1-10 of 14) with videos related to

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Arxiv|May 10, 2023
CIMLA: Interpretable AI for inference of differential causal networksPayam Dibaeinia, Saurabh Sinha
Cell Systems|September 2, 2020
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory NetworksPayam Dibaeinia, Saurabh Sinha
Nucleic Acids Research|September 11, 2021
Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networksPayam Dibaeinia, Saurabh Sinha
Science Advances|February 14, 2025
Interpretable AI for inference of causal molecular relationships from omics dataPayam Dibaeinia, Abhishek Ojha, Saurabh Sinha
Bioinformatics (Oxford, England)|February 12, 2021
FASTRAL: improving scalability of phylogenomic analysisPayam Dibaeinia, Shayan Tabe-Bordbar, Tandy Warnow
ACS Applied Materials & Interfaces|December 23, 2016
DNA Origami-Graphene Hybrid Nanopore for DNA DetectionAmir Barati Farimani, Payam Dibaeinia, Narayana R Aluru
Journal of Lipid Research|December 4, 2018
Global analysis of osteosarcoma lipidomes reveal altered lipid profiles in metastatic versus nonmetastatic cellsJahnabi Roy, Payam Dibaeinia, Timothy M Fan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Integrating Polygenic Risk Improves Generative Forecasting of Disease TrajectoriesChris German, Suyash Shringarpure, Payam Dibaeinia, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
Virtual Cells Need Context, Not Just ScalePayam Dibaeinia, Sudarshan Babu, Mei Knudson, et al.
Microbiology Spectrum|November 29, 2023
A transcriptomic atlas of acute stress response to low pH in multiple <i>Issatchenkia orientalis</i> strainsVeronika Dubinkina, Shounak Bhogale, Ping-Hung Hsieh, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Arxiv|May 10, 2023
CIMLA: Interpretable AI for inference of differential causal networksPayam Dibaeinia, Saurabh Sinha
Cell Systems|September 2, 2020
SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory NetworksPayam Dibaeinia, Saurabh Sinha
Nucleic Acids Research|September 11, 2021
Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networksPayam Dibaeinia, Saurabh Sinha
Science Advances|February 14, 2025
Interpretable AI for inference of causal molecular relationships from omics dataPayam Dibaeinia, Abhishek Ojha, Saurabh Sinha
Bioinformatics (Oxford, England)|February 12, 2021
FASTRAL: improving scalability of phylogenomic analysisPayam Dibaeinia, Shayan Tabe-Bordbar, Tandy Warnow
ACS Applied Materials & Interfaces|December 23, 2016
DNA Origami-Graphene Hybrid Nanopore for DNA DetectionAmir Barati Farimani, Payam Dibaeinia, Narayana R Aluru
Journal of Lipid Research|December 4, 2018
Global analysis of osteosarcoma lipidomes reveal altered lipid profiles in metastatic versus nonmetastatic cellsJahnabi Roy, Payam Dibaeinia, Timothy M Fan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Integrating Polygenic Risk Improves Generative Forecasting of Disease TrajectoriesChris German, Suyash Shringarpure, Payam Dibaeinia, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
Virtual Cells Need Context, Not Just ScalePayam Dibaeinia, Sudarshan Babu, Mei Knudson, et al.
Microbiology Spectrum|November 29, 2023
A transcriptomic atlas of acute stress response to low pH in multiple <i>Issatchenkia orientalis</i> strainsVeronika Dubinkina, Shounak Bhogale, Ping-Hung Hsieh, et al.
Pageof 2