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Sacha B. Nelson

dblp:87/419 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-0108-8599ORCID · corroborated

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

Artificial intelligence and machine learning · 4Applied, interdisciplinary, general and emerging computing · 1

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
biological database
0.212015
RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets · Bioinform. 2015
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.212015
RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets · Bioinform. 2015
Bioinformatics and computational biology
computational neuroscience
0.011998
Recurrent Cortical Amplification Produces Complex Cell Responses · NIPS 1998
Bioinformatics and computational biology › computational neuroscience
cortical computation
0.011998
Recurrent Cortical Amplification Produces Complex Cell Responses · NIPS 1998

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

recurrent cortical amplification modeling · 0.0
YearPublicationVenuePosition
2015 RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets
abstract
UNLABELLED: Gene targeting is a protocol for introducing a mutation to a specific gene in an organism. Because of the importance of in vivo assessment of gene function and modeling of human diseases, this technique has been widely adopted to generate a large number of mutant mouse models. Due to the recent breakthroughs in high-throughput sequencing technologies, RNA-Seq experiments have been performed on many of these mouse models, leading to hundreds of publicly available datasets. To facilitate the reuse of these datasets, we collected the associated metadata and organized them in a database called RNASeqMetaDB. The metadata were manually curated to ensure annotation consistency. We developed a web server to allow easy database navigation and data querying. Users can search the database using multiple parameters like genes, diseases, tissue types, keywords and associated publications in order to find datasets that match their interests. Summary statistics of the metadata are also presented on the web server showing interesting global patterns of RNA-Seq studies. AVAILABILITY AND IMPLEMENTATION: Freely available on the web at http://rnaseqmetadb.ece.tamu.edu.
Zhengyu Guo, Boriana Tzvetkova, Jennifer M. Bassik, Tara Bodziak, Brianna M. Wojnar, Md A. Obaida, Sacha B. Nelson, Bo Hua Hu
Bioinform.8
2000 A recurrent network model for the phase invariance of complex cell responses
Frances S. Chance, Sacha B. Nelson, L. F. Abbott
Neurocomputing2
1999 Activity-dependent regulation of excitability in rat visual cortical neurons
Niraj S. Desai, Sacha B. Nelson, Gina G. Turrigiano
Neurocomputing2
1999 Decorrelation of spike trains by synaptic depression
Mark S. Goldman, Sacha B. Nelson, L. F. Abbott
Neurocomputing2
1998 Recurrent Cortical Amplification Produces Complex Cell Responses
Frances S. Chance, Sacha B. Nelson, L. F. Abbott
NIPS2