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Items: 5

1.

Quantifying How Staining Methods Bias Measurements of Neuron Morphologies.

Farhoodi R, Lansdell BJ, Kording KP.

Front Neuroinform. 2019 May 21;13:36. doi: 10.3389/fninf.2019.00036. eCollection 2019.

2.

The roles of supervised machine learning in systems neuroscience.

Glaser JI, Benjamin AS, Farhoodi R, Kording KP.

Prog Neurobiol. 2019 Apr;175:126-137. doi: 10.1016/j.pneurobio.2019.01.008. Epub 2019 Feb 7. Review.

PMID:
30738835
3.

Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability.

Dehghanpoor R, Ricks E, Hursh K, Gunderson S, Farhoodi R, Haspel N, Hutchinson B, Jagodzinski F.

Molecules. 2018 Jan 27;23(2). pii: E251. doi: 10.3390/molecules23020251.

4.

Machine Learning Approaches for Predicting Protein Complex Similarity.

Farhoodi R, Akbal-Delibas B, Haspel N.

J Comput Biol. 2017 Jan;24(1):40-51. doi: 10.1089/cmb.2016.0137. Epub 2016 Oct 17.

PMID:
27748625
5.

Accurate refinement of docked protein complexes using evolutionary information and deep learning.

Akbal-Delibas B, Farhoodi R, Pomplun M, Haspel N.

J Bioinform Comput Biol. 2016 Jun;14(3):1642002. doi: 10.1142/S0219720016420026. Epub 2015 Nov 24.

PMID:
26846813

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