Search research articles
Contact Us
Filters
Showing results (51-60 of 62) with videos related to
Page
of 7
Sort By:
Nature Communications
|
October 16, 2025
Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning
Andreas L Gimpel, Bowen Fan, Dexiong Chen, et al.
Bioinformatics (Oxford, England)
|
May 23, 2023
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Matteo Togninalli, Xu Wang, Tim Kucera, et al.
Biorxiv : the Preprint Server for Biology
|
April 28, 2025
Single cell spatial proteomics maps human liver zonation patterns and their vulnerability to fibrosis
Caroline A M Weiss, Lauryn A Brown, Lucas Miranda, et al.
Nature Medicine
|
March 11, 2020
Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L Hyland, Martin Faltys, Matthias Hüser, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
|
May 20, 2018
Aberrant working memory processing in major depression: evidence from multivoxel pattern classification
Matti Gärtner, M Elisabetta Ghisu, Milan Scheidegger, et al.
Nature Metabolism
|
February 20, 2026
Single-cell spatial proteomics maps human liver zonation patterns and their vulnerability to disruption in tissue architecture
Caroline A M Weiss, Lauryn A Brown, Lucas Miranda, et al.
European Journal of Human Genetics : EJHG
|
December 15, 2010
EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units
Tony Kam-Thong, Darina Czamara, Koji Tsuda, et al.
Nature Genetics
|
August 30, 2011
Whole-genome sequencing of multiple Arabidopsis thaliana populations
Jun Cao, Korbinian Schneeberger, Stephan Ossowski, et al.
Studies in Health Technology and Informatics
|
June 24, 2020
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research
Adrian Egli, Manuel Battegay, Andrea C Büchler, et al.
Microbes and Infection
|
September 7, 2025
ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
Mariella Greutmann, Karsten Borgwardt, Sarah Brüningk, et al.
Page
of 7
Search research articles
Search
Showing results (51-60 of 62) with videos related to
Sort By:
Page
of 7
Nature Communications
|
October 16, 2025
Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning
Andreas L Gimpel, Bowen Fan, Dexiong Chen, et al.
Bioinformatics (Oxford, England)
|
May 23, 2023
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
Matteo Togninalli, Xu Wang, Tim Kucera, et al.
Biorxiv : the Preprint Server for Biology
|
April 28, 2025
Single cell spatial proteomics maps human liver zonation patterns and their vulnerability to fibrosis
Caroline A M Weiss, Lauryn A Brown, Lucas Miranda, et al.
Nature Medicine
|
March 11, 2020
Early prediction of circulatory failure in the intensive care unit using machine learning
Stephanie L Hyland, Martin Faltys, Matthias Hüser, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
|
May 20, 2018
Aberrant working memory processing in major depression: evidence from multivoxel pattern classification
Matti Gärtner, M Elisabetta Ghisu, Milan Scheidegger, et al.
Nature Metabolism
|
February 20, 2026
Single-cell spatial proteomics maps human liver zonation patterns and their vulnerability to disruption in tissue architecture
Caroline A M Weiss, Lauryn A Brown, Lucas Miranda, et al.
European Journal of Human Genetics : EJHG
|
December 15, 2010
EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units
Tony Kam-Thong, Darina Czamara, Koji Tsuda, et al.
Nature Genetics
|
August 30, 2011
Whole-genome sequencing of multiple Arabidopsis thaliana populations
Jun Cao, Korbinian Schneeberger, Stephan Ossowski, et al.
Studies in Health Technology and Informatics
|
June 24, 2020
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research
Adrian Egli, Manuel Battegay, Andrea C Büchler, et al.
Microbes and Infection
|
September 7, 2025
ESCMID workshop: Artificial intelligence and machine learning in medical microbiology diagnostics
Mariella Greutmann, Karsten Borgwardt, Sarah Brüningk, et al.
Page
of 7