J
Jeroen Eggermont
Researcher at Leiden University Medical Center
Publications - 59
Citations - 2706
Jeroen Eggermont is an academic researcher from Leiden University Medical Center. The author has contributed to research in topics: Genetic programming & Evolutionary algorithm. The author has an hindex of 23, co-authored 54 publications receiving 1870 citations. Previous affiliations of Jeroen Eggermont include Leiden University & Loyola University Medical Center.
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Journal ArticleDOI
Conserved cell types with divergent features in human versus mouse cortex.
Rebecca D. Hodge,Trygve E. Bakken,Jeremy A. Miller,Kimberly A. Smith,Eliza Barkan,Lucas T. Graybuck,Jennie L. Close,Brian Long,Nelson Johansen,Osnat Penn,Zizhen Yao,Jeroen Eggermont,Thomas Höllt,Thomas Höllt,Boaz P. Levi,Soraya I. Shehata,Brian D. Aevermann,Allison Beller,Darren Bertagnolli,Krissy Brouner,Tamara Casper,Charles Cobbs,Rachel A. Dalley,Nick Dee,Songlin Ding,Richard G. Ellenbogen,Olivia Fong,Emma Garren,Jeff Goldy,Ryder P. Gwinn,Daniel Hirschstein,C. Dirk Keene,Mohamed Keshk,Andrew L. Ko,Andrew L. Ko,Kanan Lathia,Ahmed Mahfouz,Ahmed Mahfouz,Zoe Maltzer,Medea McGraw,Thuc Nghi Nguyen,Julie Nyhus,Jeffrey G. Ojemann,Jeffrey G. Ojemann,Aaron Oldre,Sheana Parry,Shannon Reynolds,Christine Rimorin,Nadiya V. Shapovalova,Saroja Somasundaram,Aaron Szafer,Elliot R. Thomsen,Michael Tieu,Gerald Quon,Richard H. Scheuermann,Richard H. Scheuermann,Rafael Yuste,Susan M. Sunkin,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,David Feng,Lydia Ng,Amy Bernard,Michael Hawrylycz,John W. Phillips,Bosiljka Tasic,Hongkui Zeng,Allan R. Jones,Christof Koch,Ed Lein +69 more
TL;DR: RNA-sequencing analysis of cells in the human cortex enabled identification of diverse cell types, revealing well-conserved architecture and homologous cell types as well as extensive differences when compared with datasets covering the analogous region of the mouse brain.
Journal ArticleDOI
Comparative cellular analysis of motor cortex in human, marmoset and mouse
Trygve E. Bakken,Nikolas L. Jorstad,Qiwen Hu,Blue B. Lake,Wei Tian,Brian E. Kalmbach,Brian E. Kalmbach,Megan Crow,Rebecca D. Hodge,Fenna M. Krienen,Staci A. Sorensen,Jeroen Eggermont,Zizhen Yao,Brian D. Aevermann,Andrew Aldridge,Anna Bartlett,Darren Bertagnolli,Tamara Casper,Rosa Castanon,Kirsten Crichton,Tanya L. Daigle,Rachel A. Dalley,Nick Dee,Nikolai C. Dembrow,Nikolai C. Dembrow,Dinh Diep,Songlin Ding,Weixiu Dong,Rongxin Fang,Stephan Fischer,Melissa Goldman,Jeff Goldy,Lucas T. Graybuck,Brian R. Herb,Xiaomeng Hou,Jayaram Kancherla,Matthew Kroll,Kanan Lathia,Baldur van Lew,Yang Eric Li,Yang Eric Li,Christine S. Liu,Christine S. Liu,Hanqing Liu,Jacinta Lucero,Anup Mahurkar,Delissa McMillen,Jeremy A. Miller,Marmar Moussa,Joseph R. Nery,Philip R. Nicovich,Sheng-Yong Niu,Sheng-Yong Niu,Joshua Orvis,Julia K. Osteen,Scott F. Owen,C. Palmer,C. Palmer,Thanh Pham,Nongluk Plongthongkum,Olivier Poirion,Nora Reed,Christine Rimorin,Angeline Rivkin,William J. Romanow,Adriana E. Sedeno-Cortes,Kimberly Siletti,Saroja Somasundaram,Josef Sulc,Michael Tieu,Amy Torkelson,Herman Tung,Xinxin Wang,Fangming Xie,Anna Marie Yanny,Renee Zhang,Seth A. Ament,M. Margarita Behrens,Héctor Corrada Bravo,Jerold Chun,Alexander Dobin,Jesse Gillis,Ronna Hertzano,Patrick R. Hof,Thomas Höllt,Gregory D. Horwitz,C. Dirk Keene,Peter V. Kharchenko,Andrew L. Ko,Andrew L. Ko,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Chongyuan Luo,Eran A. Mukamel,Antonio Pinto-Duarte,Sebastian Preissl,Aviv Regev,Bing Ren,Bing Ren,Richard H. Scheuermann,Richard H. Scheuermann,Richard H. Scheuermann,Kimberly A. Smith,William J. Spain,William J. Spain,Owen White,Christof Koch,Michael Hawrylycz,Bosiljka Tasic,Evan Z. Macosko,Steven A. McCarroll,Steven A. McCarroll,Jonathan T. Ting,Jonathan T. Ting,Hongkui Zeng,Kun Zhang,Guoping Feng,Guoping Feng,Guoping Feng,Joseph R. Ecker,Sten Linnarsson,Ed S. Lein +121 more
TL;DR: The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals using high-throughput transcriptomic and epigenomic profiling of more than 450k single nuclei in humans, marmoset monkeys and mice as mentioned in this paper.
Proceedings ArticleDOI
Genetic Programming for data classification: partitioning the search space
TL;DR: This work presents several methods using techniques from the field of machine learning to refine and thereby reduce the search space sizes for decision tree evolvers, and shows that these refinement methods improve the classification performance of the algorithms.
Journal ArticleDOI
Memory CD4(+) T cells are generated in the human fetal intestine
Na Li,Vincent van Unen,Tamim Abdelaal,Tamim Abdelaal,Nannan Guo,Sofya A. Kasatskaya,Sofya A. Kasatskaya,Kristin Ladell,James E. McLaren,Evgeny S. Egorov,Mark Izraelson,Susana M. Chuva de Sousa Lopes,Thomas Höllt,Thomas Höllt,Olga V. Britanova,Jeroen Eggermont,Noel F C C de Miranda,Dmitriy M. Chudakov,David Price,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Frits Koning +21 more
TL;DR: Functional assays combined with mass cytometry, single-cell RNA sequencing and high-throughput T cell antigen receptor (TCR) sequencing provide evidence for the generation of memory-like CD4+ T cells in the human fetal intestine that is consistent with exposure to foreign antigens.
Journal ArticleDOI
Mixed integer evolution strategies for parameter optimization
Rui Li,Michael Emmerich,Jeroen Eggermont,Thomas Bäck,Martin Schütz,Jouke Dijkstra,Johan H. C. Reiber +6 more
TL;DR: MIES can deal with parameter vectors consisting not only of continuous variables but also with nominal discrete and integer variables and it is shown that with proper constraint handling techniques, MIES can also be applied to classical mixed integer nonlinear programming problems.