Demo Data from EDBT 2026 / reviewers in the wild / expert
Juliana C. Leal
dblp:209/7643
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis |
0.3 | 1 | 2017 | DiagnoProt: a tool for discovery of new molecules by mass spectrometry · Bioinform. 2017 |
Bioinformatics and computational biology
proteomics |
0.3 | 1 | 2017 | DiagnoProt: a tool for discovery of new molecules by mass spectrometry · Bioinform. 2017 |
Bioinformatics and computational biology
spectral clustering |
0.1 | 1 | 2017 | DiagnoProt: a tool for discovery of new molecules by mass spectrometry · Bioinform. 2017 |
Methods — techniques the papers use, named apart from their topics
spectral clustering · 0.3machine learning · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | DiagnoProt: a tool for discovery of new molecules by mass spectrometryabstractMOTIVATION: Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. We present DiagnoProt, an integrated computational environment that can efficiently cluster millions of spectra and use machine learning to shortlist high-quality unidentified mass spectra that are discriminative of different biological conditions. RESULTS: We exemplify the use of DiagnoProt by shortlisting 4366 high-quality unidentified tandem mass spectra that are discriminative of different types of the Aspergillus fungus. AVAILABILITY AND IMPLEMENTATION: DiagnoProt, a demonstration video and a user tutorial are available at http://patternlabforproteomics.org/diagnoprot . CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. André Ramos Fernandes Da Silva, Diogo B. Lima, Alejandro Leyva Carrillo, Rosario Durán, Carlos Batthyany, Priscila F. Aquino, Juliana C. Leal, Jimmy E. Rodriguez, Gilberto B. Domont, Marlon D. M. Santos, Julia Chamot-Rooke, Valmir C. Barbosa, Paulo C. Carvalho |
Bioinform. | 7 |