becker | BibSonomy

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1Fouille de données médicales: Analyse et prédiction de données sur les maladies cardio-vasculaires
N. Barret, V. Acier, J. Reisser, and N. Medjedel. (20xx)
5 years ago by @becker
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pysubgroup
subgroup
application
analysis
pysubgroupsubgroupapplicationanalysis
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1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment
M. Becker, K. Fehr, S. Goguen, K. Miliku, C. Field, B. Robertson, C. Yonemitsu, L. Bode, E. Simons, J. Marshall and 8 other author(s). Scientific Reports, 14 (1): 2977 (Feb 5, 2024)
6 months ago by @becker
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mother
myown
environment
circumference
multiomics
milk
multimodal
head
mothermyownenvironmentcircumferencemultiomicsmilkmultimodalhead
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1Computational Approaches for Connecting Maternal Stress to Preterm Birth
A. Mirzaei, B. Hiller, I. Stelzer, K. Thiele, Y. Tan, and M. Becker. Clinics in Perinatology, (2024)
4 months ago by @becker
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myown
stress
pregnancy
machine
learning
computational
myownstresspregnancymachinelearningcomputational
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4CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
7 months ago by @becker
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hyptrails
myown
graphs
comparing
hypothesis
networks
hypotheses
hyptrailsmyowngraphscomparinghypothesisnetworkshypotheses
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1Mode of delivery predicts postpartum maternal leukocyte telomere length
D. Panelli, J. Mayo, R. Wong, M. Becker, D. Feyaerts, I. Marić, E. Wu, I. Gotlib, B. Gaudillière, N. Aghaeepour and 1 other author(s). European Journal of Obstetrics & Gynecology and Reproductive Biology, (2024)
3 days ago by @becker
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telomeres
myown
telomeresmyown
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1Association of pregnancy complications and postpartum maternal leukocyte telomeres in two diverse cohorts: a nested case-control study
D. Panelli, X. Wang, J. Mayo, R. Wong, X. Hong, M. Becker, N. Aghaeepour, M. Druzin, B. Zuckerman, D. Stevenson and 1 other author(s). BMC Pregnancy and Childbirth, (2024)
3 days ago by @becker
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telomeres
myown
telomeresmyown
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1SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis
Y. Tan, T. Kempchen, M. Becker, M. Haist, D. Feyaerts, Y. Xiao, G. Su, A. Rech, R. Fan, J. Hickey and 1 other author(s). bioRxiv (under review), (2024)
3 days ago by @becker
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image
myown
library
imaging
pipeline
python
spacec
analysis
single
cell
imagemyownlibraryimagingpipelinepythonspacecanalysissinglecell
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1Large-scale correlation network construction for unraveling the coordination of complex biological systems
M. Becker, H. Nassar, C. Espinosa, I. Stelzer, D. Feyaerts, E. Berson, N. Bidoki, A. Chang, G. Saarunya, A. Culos and 20 other author(s). Nature Computational Science, (April 2023)
3 years ago by @becker
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myown
project:2023-tracking
correlation
skipstats
myownproject:2023-trackingcorrelationskipstats
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
6 months ago by @becker
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ien
linear
background
machine
regression
learning
knowledge
bki
ml
informed
integration
ienlinearbackgroundmachineregressionlearningknowledgebkimlinformedintegration
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1Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection
C. Urbschat, K. Thiele, I. Stelzer, T. Zhang, Y. Zhao, T. Kehribar, M. Pagenkemper, G. Hansen, B. Gaudillière, A. Diemert and 1 other author(s). Journal of Reproductive Immunology, (2023)
10 months ago by @becker
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myown
covid
pregnancy
abstract
vaccination
single
cell
myowncovidpregnancyabstractvaccinationsinglecell
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1Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature
E. Berson, A. Sreenivas, T. Phongpreecha, A. Perna, F. Grandi, L. Xue, N. Ravindra, N. Payrovnaziri, S. Mataraso, Y. Kim and 9 other author(s). Nature Communications, 14 (1): 4947 (2023)
10 months ago by @becker
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deconvolution
genome
alzheimer
myown
epigenetics
machine
learning
deconvolutiongenomealzheimermyownepigeneticsmachinelearning
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1Prediction of multiple neuropathologic changes from features available during life
T. Phongpreecha, D. De Francesco, A. Chang, M. Thuraiappah, M. Becker, N. Ravindra, E. Berson, C. Espinosa, S. Mataraso, D. Godrich and 1 other author(s). Alzheimer's & Dementia, (2023)
12 months ago by @becker
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myown
myown
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1Data-driven longitudinal characterization of neonatal health and morbidity
D. Francesco, J. Reiss, J. Roger, A. Tang, A. Chang, M. Becker, T. Phongpreecha, C. Espinosa, S. Morin, E. Berson and 23 other author(s). Science Translational Medicine, 15 (683): eadc9854 (2023)
a year ago by @becker
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myown
project:2023-tracking
data
health
neonatal
paper:fastcor
longitudinal
myownproject:2023-trackingdatahealthneonatalpaper:fastcorlongitudinal
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1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations
D. Degen, D. Caviedes Voullième, S. Buiter, H. Hendricks Franssen, H. Vereecken, A. González-Nicolás, and F. Wellmann. Geoscientific Model Development, 16 (24): 7375--7409 (2023)
7 months ago by @becker
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m:id:ai4simulation:node
m:
m:id:ai4simulation:nodem:
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1Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity
N. Ravindra, C. Espinosa, E. Berson, T. Phongpreecha, P. Zhao, M. Becker, A. Chang, S. Shome, I. Marić, D. De Francesco and 1 other author(s). npj Digital Medicine, 6 (1): 171 (2023)
10 months ago by @becker
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sleep
myown
prematurity
deep
activity
accelerometer
pregnancy
learning
representation
sleepmyownprematuritydeepactivityaccelerometerpregnancylearningrepresentation
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1Multiple physics pretraining for physical surrogate models
M. McCabe, B. Blancard, L. Parker, R. Ohana, M. Cranmer, A. Bietti, M. Eickenberg, S. Golkar, G. Krawezik, F. Lanusse and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)
3 months ago by @becker
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citedby:scholar:count:10
surrogate
citedby:scholar:timestamp:2024-4-26
physics
simulation
model
informed
citedby:scholar:count:10surrogatecitedby:scholar:timestamp:2024-4-26physicssimulationmodelinformed
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1Shorter maternal leukocyte telomere length following cesarean birth: Implications for future research
D. Panelli, J. Mayo, R. Wong, M. Becker, I. Maric, E. Wu, I. Gotlib, N. Aghaeepour, M. Druzin, D. Stevenson and 1 other author(s). American Journal of Obstetrics & Gynecology, 228 (1): S456--S457 (2023)
2 years ago by @becker
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myown
pregnancy
telomere
birth
length
cesarean
myownpregnancytelomerebirthlengthcesarean
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1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4
S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky and 1 other author(s). The American Journal of Clinical Nutrition, (2023)
a year ago by @becker
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myown
citedby:scholar:timestamp:2023-5-14
citedby:scholar:count:4
milk
human
nutrition
infant
myowncitedby:scholar:timestamp:2023-5-14citedby:scholar:count:4milkhumannutritioninfant
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1Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries
C. Espinosa, W. Khan, R. Khanam, S. Das, J. Khalid, J. Pervin, M. Kasaro, K. Contrepois, A. Chang, T. Phongpreecha and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)
a year ago by @becker
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income
myown
country
middle
low
pregnancy
birth
lmic
multiomics
maternal
preterm
ehr
incomemyowncountrymiddlelowpregnancybirthlmicmultiomicsmaternalpretermehr
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1Cross-species comparative analysis of single presynapses
E. Berson, C. Gajera, T. Phongpreecha, A. Perna, S. Bukhari, M. Becker, A. Chang, D. De Francesco, C. Espinosa, N. Ravindra and 1 other author(s). Scientific Reports, 13 (1): 13849 (2023)
10 months ago by @becker
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presynapses
myown
species
cross
single
cell
cytof
presynapsesmyownspeciescrosssinglecellcytof
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BibSonomy

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1Comment

1Map: Project - BMBF: AI 3 Simulation

1Fouille de données médicales: Analyse et prédiction de données sur les maladies cardio-vasculaires

1Multimodal machine learning for modeling infant head circumference, mothers' milk composition, and their shared environment

1Computational Approaches for Connecting Maternal Stress to Preterm Birth

4CompTrails: comparing hypotheses across behavioral networks

1Mode of delivery predicts postpartum maternal leukocyte telomere length

1Association of pregnancy complications and postpartum maternal leukocyte telomeres in two diverse cohorts: a nested case-control study

1SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis

1Large-scale correlation network construction for unraveling the coordination of complex biological systems

1Feature-weighted elastic net: using "features of features" for better prediction

1Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection

1Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature

1Prediction of multiple neuropathologic changes from features available during life

1Data-driven longitudinal characterization of neonatal health and morbidity

1Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations

1Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

1Multiple physics pretraining for physical surrogate models

1Shorter maternal leukocyte telomere length following cesarean birth: Implications for future research

1Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4

1Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries

1Cross-species comparative analysis of single presynapses

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