Image6_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image5_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image2_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image4_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table13_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table11_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table8_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table9_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table6_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table7_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table12_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table5_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image1_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Image3_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.tif حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Table10_Integrating genomics and AI to uncover molecular targets for mRNA vaccine development in lupus nephritis.xlsx حسب Lisha Mou (151003)

"…By applying non-negative matrix factorization (NMF), we identified four distinct leukocyte meta-programs in LN, highlighting diverse immune functions and potential mRNA vaccine targets. Utilizing 12 machine learning algorithms, we developed 417 predictive models incorporating gene sets linked to key biological pathways, such as MTOR signaling, autophagy, Toll-like receptor, and adaptive immunity pathways. …"

Protein architecture network of putative effectors for rarely occurring domains. حسب Christophe Noroy (6504287)

Data_Sheet_1_Automated Classification of Resting-State fMRI ICA Components Using a Deep Siamese Network.docx حسب Yiyu Chou (12258170)

"…Hence, a fully automatic algorithm that can reliably classify these RSNs is desirable. …"

Protein architecture network of <i>Ehrlichia</i> pT4Es shows a large number of interactions between protein domains. حسب Christophe Noroy (6504287)

Network analysis of <i>Anaplasmataceae</i> species-specific pT4Es and host range suggests the existence of host-specific pT4Es. حسب Christophe Noroy (6504287)

Data_Sheet_1_Predicting the occurrence of mild cognitive impairment in Parkinson’s disease using structural MRI data.docx حسب Iman Beheshti (13440507)

"…Patients were divided into two groups based on the annual cognitive assessments over a 5-year time span: (i) PD patients with unstable healthy cognition who developed MCI over a 5-year follow-up (PD-UHC, n = 52), and (ii) PD patients who maintained stable healthy cognitive function over the same period (PD-SHC, n = 52). …"