J. M. Carazo
Molecular Biology · 2004–2021
A researcher in the Science corpus: 11 papers; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 56 citations into it; #7,128 of 17,773 by trust here, #8,089 by citations
- Structural Biology — 30 citations into it; #65 of 224 by trust here, #57 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #19,657 of 21,575 by trust here, #14,822 by citations
- Artificial Intelligence — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
- Signal Processing — 5 citations into it
Whom J. M. Carazo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrik O. Hoyer
- Sorin Draghici
- Barbara Olshausen
- Daniel D. Lee
- David L. Donoho
- P. Paatero
- Paris Smaragdis
- Bing Zhang
- Purvesh Khatri
Who trusts J. M. Carazo overall
Papers from J. M. Carazo's perspective
Ordered by how strongly the researchers J. M. Carazo trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning the parts of objects by non-negative matrix factorization
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Global functional profiling of gene expression. (Genomics)
- Characterizing gene sets with FuncAssociate (Bioinform.)
- GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing (Bioinform.)
- GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies (BMC Bioinformatics)
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
Their papers
- Image processing for electron microscopy single-particle analysis using XMIPP (2008) — 344 citations
- Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization (2007) — 440 citations
- GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists (2007) — 626 citations
- GeneCodis: interpreting gene lists through enrichment analysis and integration of diverse biological information (2009) — 466 citations
- Nonsmooth nonnegative matrix factorization (nsNMF) (2006) — 427 citations
- Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization (2006) — 367 citations
- Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy. (2016) — 532 citations
- PDBe-KB: collaboratively defining the biological context of structural data (2021) — 68 citations
- DeepEMhancer: a deep learning solution for cryo-EM volume post-processing (2020) — 1,226 citations
- Xmipp 3.0: an improved software suite for image processing in electron microscopy. (2013) — 302 citations
- XMIPP: a new generation of an open-source image processing package for electron microscopy. (2004) — 481 citations