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Hani Goodarzi

Showing results (21-30 of 141) with videos related to

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Nature Communications|November 2, 2018
Publisher Correction: Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Communications Biology|September 15, 2024
Learning chemical sensitivity reveals mechanisms of cellular responseWilliam Connell, Kristle Garcia, Hani Goodarzi, et al.
Journal of Theoretical Biology|January 24, 2007
Solvent accessibility, residue charge and residue volume, the three ingredients of a robust amino acid substitution matrixHani Goodarzi, Ali Katanforoush, Noorossadat Torabi, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Learning chemical sensitivity reveals mechanisms of cellular responseWilliam Connell, Kristle Garcia, Hani Goodarzi, et al.
Cancer Research|June 23, 2016
TMEM2 Is a SOX4-Regulated Gene That Mediates Metastatic Migration and Invasion in Breast CancerHyeseung Lee, Hani Goodarzi, Sohail F Tavazoie, et al.
Journal of Theoretical Biology|August 3, 2005
Applying a neural network to predict the thermodynamic parameters for an expanded nearest-neighbor modelHamed Shateri Najafabadi, Hani Goodarzi, Noorossadat Torabi, et al.
Bulletin of Mathematical Biology|July 12, 2005
The impact of including tRNA content on the optimality of the genetic codeHani Goodarzi, Hamed Shateri Najafabadi, Hamed Ahmadi Nejad, et al.
Plos Computational Biology|September 5, 2024
pyPAGE: A framework for Addressing biases in gene-set enrichment analysis-A case study on Alzheimer's diseaseArtemy Bakulin, Noam B Teyssier, Martin Kampmann, et al.
Computational Biology and Chemistry|January 3, 2006
Importance of RNA secondary structure information for yeast donor and acceptor splice site predictions by neural networksSayed-Amir Marashi, Hani Goodarzi, Mehdi Sadeghi, et al.
Journal of Theoretical Biology|May 11, 2005
On the optimality of the genetic code, with the consideration of coevolution theory by comparison of prominent cost measure matricesHani Goodarzi, Hamed Shateri Najafabadi, Kasra Hassani, et al.
Pageof 15

Showing results (21-30 of 141) with videos related to

Sort By:
Pageof 15
Nature Communications|November 2, 2018
Publisher Correction: Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer's diseaseRached Alkallas, Lisa Fish, Hani Goodarzi, et al.
Communications Biology|September 15, 2024
Learning chemical sensitivity reveals mechanisms of cellular responseWilliam Connell, Kristle Garcia, Hani Goodarzi, et al.
Journal of Theoretical Biology|January 24, 2007
Solvent accessibility, residue charge and residue volume, the three ingredients of a robust amino acid substitution matrixHani Goodarzi, Ali Katanforoush, Noorossadat Torabi, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Learning chemical sensitivity reveals mechanisms of cellular responseWilliam Connell, Kristle Garcia, Hani Goodarzi, et al.
Cancer Research|June 23, 2016
TMEM2 Is a SOX4-Regulated Gene That Mediates Metastatic Migration and Invasion in Breast CancerHyeseung Lee, Hani Goodarzi, Sohail F Tavazoie, et al.
Journal of Theoretical Biology|August 3, 2005
Applying a neural network to predict the thermodynamic parameters for an expanded nearest-neighbor modelHamed Shateri Najafabadi, Hani Goodarzi, Noorossadat Torabi, et al.
Bulletin of Mathematical Biology|July 12, 2005
The impact of including tRNA content on the optimality of the genetic codeHani Goodarzi, Hamed Shateri Najafabadi, Hamed Ahmadi Nejad, et al.
Plos Computational Biology|September 5, 2024
pyPAGE: A framework for Addressing biases in gene-set enrichment analysis-A case study on Alzheimer's diseaseArtemy Bakulin, Noam B Teyssier, Martin Kampmann, et al.
Computational Biology and Chemistry|January 3, 2006
Importance of RNA secondary structure information for yeast donor and acceptor splice site predictions by neural networksSayed-Amir Marashi, Hani Goodarzi, Mehdi Sadeghi, et al.
Journal of Theoretical Biology|May 11, 2005
On the optimality of the genetic code, with the consideration of coevolution theory by comparison of prominent cost measure matricesHani Goodarzi, Hamed Shateri Najafabadi, Kasra Hassani, et al.
Pageof 15