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Methods in Molecular Biology (Clifton, N.J.)
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March 29, 2024
Deep Learning-Assisted Analysis of Immunopeptidomics Data
Wassim Gabriel, Mario Picciani, Matthew The, et al.
Molecular & Cellular Proteomics : MCP
|
June 13, 2024
Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification
Mostafa Kalhor, Joel Lapin, Mario Picciani, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
July 12, 2024
AI-Assisted Processing Pipeline to Boost Protein Isoform Detection
Matthew The, Mario Picciani, Cecilia Jensen, et al.
Nature Communications
|
May 12, 2026
Critical evaluation of drug response prediction models with DrEval
Judith Bernett, Pascal Iversen, Mario Picciani, et al.
Nature Communications
|
May 10, 2024
Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF
Charlotte Adams, Wassim Gabriel, Kris Laukens, et al.
Journal of Proteome Research
|
May 9, 2025
To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry
Naim Abdul-Khalek, Mario Picciani, Omar Shouman, et al.
Nature Communications
|
July 1, 2025
Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structures
Mostafa Kalhor, Cemil Can Saylan, Mario Picciani, et al.
Proteomics
|
September 6, 2023
Oktoberfest: Open-source spectral library generation and rescoring pipeline based on Prosit
Mario Picciani, Wassim Gabriel, Victor-George Giurcoiu, et al.
Nucleic Acids Research
|
November 17, 2025
Mapping drug mechanisms with ProteomicsDB: unified omics and cell sensitivity data at scale
Mario Picciani, Armin Soleymaniniya, Julian Müller, et al.
Nucleic Acids Research
|
August 22, 2024
Network medicine-based epistasis detection in complex diseases: ready for quantum computing
Markus Hoffmann, Julian M Poschenrieder, Massimiliano Incudini, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Methods in Molecular Biology (Clifton, N.J.)
|
March 29, 2024
Deep Learning-Assisted Analysis of Immunopeptidomics Data
Wassim Gabriel, Mario Picciani, Matthew The, et al.
Molecular & Cellular Proteomics : MCP
|
June 13, 2024
Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification
Mostafa Kalhor, Joel Lapin, Mario Picciani, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
July 12, 2024
AI-Assisted Processing Pipeline to Boost Protein Isoform Detection
Matthew The, Mario Picciani, Cecilia Jensen, et al.
Nature Communications
|
May 12, 2026
Critical evaluation of drug response prediction models with DrEval
Judith Bernett, Pascal Iversen, Mario Picciani, et al.
Nature Communications
|
May 10, 2024
Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF
Charlotte Adams, Wassim Gabriel, Kris Laukens, et al.
Journal of Proteome Research
|
May 9, 2025
To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry
Naim Abdul-Khalek, Mario Picciani, Omar Shouman, et al.
Nature Communications
|
July 1, 2025
Prosit-XL: enhanced cross-linked peptide identification by fragment intensity prediction to study protein interactions and structures
Mostafa Kalhor, Cemil Can Saylan, Mario Picciani, et al.
Proteomics
|
September 6, 2023
Oktoberfest: Open-source spectral library generation and rescoring pipeline based on Prosit
Mario Picciani, Wassim Gabriel, Victor-George Giurcoiu, et al.
Nucleic Acids Research
|
November 17, 2025
Mapping drug mechanisms with ProteomicsDB: unified omics and cell sensitivity data at scale
Mario Picciani, Armin Soleymaniniya, Julian Müller, et al.
Nucleic Acids Research
|
August 22, 2024
Network medicine-based epistasis detection in complex diseases: ready for quantum computing
Markus Hoffmann, Julian M Poschenrieder, Massimiliano Incudini, et al.
Page
of 2