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Mahsa Moein

dblp:73/10218 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
bioimage informatics
0.112018
CaSiAn: a Calcium Signaling Analyzer tool · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.3peak detection · 0.3
YearPublicationVenuePosition
2018 CaSiAn: a Calcium Signaling Analyzer tool
abstract
Summary: Ca2+ is a central second messenger in eukaryotic cells that regulates many cellular processes. Recently, we have indicated that typical Ca2+ signals are not purely oscillatory as widely assumed, but exhibit stochastic spiking with cell type and pathway specific characteristics. Here, we present the Calcium Signaling Analyzer (CaSiAn), an open source software tool that allows for quantifying these signal characteristics including individual spike properties and time course statistics in a semi-automated manner. CaSiAn provides an intuitive graphical user interface allowing experimentalists to easily process a large amount of Ca2+ signals, interactively tune peak detection, revise statistical measures and access the quantified signal properties as excel or text files. Availability and implementation: CaSiAn is implemented in Java and available on Github (https://github.com/mmahsa/CaSiAn) as well as on the project page (http://r3lab.uni.lu/web/casa). Supplementary information: Supplementary data are available at Bioinformatics online.
Mahsa Moein, Kamil Grzyb, Teresa Gonçalves Martins, Shinya Komoto, Francesca Peri, Alexander D. Crawford, Aymeric Fouquier d'Hérouël, Alexander Skupin
Bioinform.1
2009 Iris Disease Classifying Using Neuro-Fuzzy Medical Diagnosis Machine
Sara Moein, Mohamad Hossein Saraee, Mahsa Moein
ISNN (4)3