Boxplot rate of influenza positivity value by period. by Nadia Nisar (311028)

Subjects:

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Figure 6 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin by Joanna Domagala (21643925)

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Decrease in loss during the training process. by Muhammad Idrees (92773)

BST2 overexpression decreased RSV multiplication. by Katherine Marougka (13015146)

The nsP4-Q192L and C483Y mutations decrease the 4′-FlU sensitivity of both replication and transcription. by Peiqi Yin (6533747)

MST1 upregulates CD36 expression via PPARγ. by Jianyang Li (461703)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Diversity of barcode repertoire decreases after early times of infection. by Sylvain Blois (663852)

Subjects:

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

Column charts of WiAUC in therapy and control group at baseline and follow-up. by Felix L. Herr (21544362)

Subjects:

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Column charts of SI_8min and SI_10min in the therapy and control group at follow-up. by Felix L. Herr (21544362)

Subjects:

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

“…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…”

siRNA-mediated knockdown of myosin-9 decreases reovirus infection and egress. by Isabel Fernández de Castro (22431012)

RNA-seq raw expression values for early-onset and late-onset types in 99 Korean colorectal cancer individuals by Jae-Yoon Kim (22817186)

“…<p dir="ltr">We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). <b>This dataset provides the raw expression values for the matched RNA-seq data (previously generated by us) corresponding to these 99 patients.…”