Author

Mahdi Kooshkbaghi

Cold Spring Harbor LaboratoryORCID 0000-0002-6344-7382Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Allen TannenbaumiD· 1 shared Ammar Tareen· 1 shared Anna Posfai· 1 shared Caroline MoosmülleriD· 1 shared Christopher John TralieiD· 1 shared David M. McCandlishiD· 1 shared Ioannis G. KevrekidisiD· 1 shared José Santos ReyesiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Allen TannenbaumORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MAVE-NN: learning genotype-phenotype maps from multiplex assays of variant effect

Ammar Tareen, Mahdi Kooshkbaghi, Anna Posfai, William T. Ireland, David M. McCandlish, Justin B. Kinney

MAVE-NN learns genotype-phenotype maps from MAVE data by using a neural network-based information-theoretic framework, enabling biophysically interpretable models.

Genome biology · Apr 15, 2022Peer-reviewedBioinformatics

Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53

Caroline Moosmüller, Christopher John Tralie, Mahdi Kooshkbaghi, Zehor Belkhatir, Maryam Pouryahya, José Santos Reyes, Joseph O. Deasy, Allen Tannenbaum, Ioannis G. Kevrekidis

The paper introduces a periodicity scoring algorithm for p53 time series and shows its correlation with cell division events.

IFAC-PapersOnLine · Jan 1, 2021Peer-reviewedBioinformatics