Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

Raw data. by Jia Zhu (135506)

“…The remaining working conditions did not exhibit a significant difference. However, the observed decreasing trend was consistent with previously documented research. …”

T-DNA insertions in <i>AtB’’α</i>, <i>AtB’’β</i>, <i>AtB’’γ</i>, and <i>AtB’’δ</i> do not affect touch-induced root bending. by Hyuk Sung Yoon (20208672)

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<i>atb’’αβγδ</i> plants exhibit retarded development under calcium-deficient and ABA-supplemented conditions after germination. by Hyuk Sung Yoon (20208672)

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The expression levels of putative VIP1 target genes that were upregulated by brushing in brushed <i>atb’’αβγδ</i> leaves. by Hyuk Sung Yoon (20208672)

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Leaves of the <i>atb’’αβγδ</i> plants under brushing-induced mechanical stress conditions. by Hyuk Sung Yoon (20208672)

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Fig 4 - by Hyuk Sung Yoon (20208672)

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Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

HPD 1466 decreases empty capsid accumulation in cells replicating HBV. by Daniel P. Bradley (10306893)

TSLPR deficient mice show decreased AHR upon HDM exposure. by Latifa Koussih (326043)

RTL8 incorporates into PEG10 VLPs and decreases the efficiency of release. by Will Campodonico (20485651)

<i>shk-1</i> mutants display decreased glycogen storage. by Longjun Pu (20685717)

All data points from Fig 2. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 5. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 8. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 3. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”

All data points from Fig 1. by Sara Hijazi (21656615)

“…Specifically, we observed that demyelination caused an impairment in the ability of PV interneurons to sustain high-frequency firing associated with a substantial decrease in Kv3-specific currents. …”