C
Carlos Cano
Researcher at University of Granada
Publications - 40
Citations - 803
Carlos Cano is an academic researcher from University of Granada. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 13, co-authored 34 publications receiving 670 citations.
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A public resource facilitating clinical use of genomes
Madeleine Ball,Joseph V. Thakuria,Alexander Wait Zaranek,Tom Clegg,Abraham M. Rosenbaum,Xiaodi Wu,Misha Angrist,Jong Bhak,Jason Bobe,Matthew J. Callow,Carlos Cano,Michael F. Chou,Wendy K. Chung,Shawn M. Douglas,Preston W. Estep,Athurva Gore,Peter J. Hulick,Alberto Labarga,Je-Hyuk Lee,Jeantine E. Lunshof,Byung Chul Kim,Jong Il Kim,Zhe Li,Michael F. Murray,Geoffrey B. Nilsen,Brock A. Peters,Anugraha M. Raman,Hugh Y. Rienhoff,Kimberly Robasky,Matthew T. Wheeler,Ward Vandewege,Daniel B. Vorhaus,Joyce L. Yang,Luhan Yang,John Aach,Euan A. Ashley,Radoje Drmanac,Seong-Jin Kim,Jin Billy Li,Leonid Peshkin,Christine E. Seidman,Jeong-Sun Seo,Kun Zhang,Heidi L. Rehm,George M. Church +44 more
TL;DR: A peer production system for recording and organizing variant evaluations according to standard evidence guidelines is developed, creating a public forum for reaching consensus on interpretation of clinically relevant variants.
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DrugNet: network-based drug-disease prioritization by integrating heterogeneous data.
TL;DR: This study shows that the simultaneous integration of information about diseases, drugs and targets can lead to a significant improvement in drug repositioning tasks.
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Predictive Biomarkers to Chemoradiation in Locally Advanced Rectal Cancer
Raquel Conde-Muíño,Marta Cuadros,Natalia Zambudio,Inmaculada Segura-Jiménez,Carlos Cano,Pablo Palma +5 more
TL;DR: Although tissue gene microarray profiling has led to promising data in cancer, to date, none of the identified signatures or molecular markers in locally advanced rectal cancer has been successfully validated as a diagnostic or prognostic tool applicable to routine clinical practice.
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ProphNet: A generic prioritization method through propagation of information
TL;DR: ProphNet is a generic network-based prioritization tool that allows to integrate an arbitrary number of interrelated biological entities to accomplish any prioritization task, and works on top of any heterogeneous network.
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Possibilistic approach for biclustering microarray data
TL;DR: This paper proposes a new method to obtain potentially-overlapping biclusters, the Possibilistic Spectral Biclustering algorithm (PSB), based on Fuzzy Technology and Spectral Clustering, and tests it on S. cerevisiae cell cycle expression data and on a human cancer dataset.