Example of non-optimal behaviour of the Greedy algorithm. by Henriette Heer (9541510)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…It can be seen that the optimization algorithm which is used in this work to fit the iCVS model is affected by the supplied start points. …”

Data_Sheet_1_A mixed effects changepoint quantile regression model for longitudinal data with application on COVID-19 data.DOCX by Wafaa I. M. Ibrahim (14672855)

Video1_Model-based monocular 6-degree-of-freedom pose tracking for asteroid.MP4 by Hao Tang (44155)

Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

“…Finally, we experimentally assessed the functional role of these genes by examining their expression in oxaliplatin-resistant cell lines and by performing gene knockdown experiments in colorectal cancer cells to measure subsequent changes in oxaliplatin sensitivity.…”

OptAux design. by Colton J. Lloyd (5484473)

“…In other words, OptAux tries to increase the flux value at the intersection of the defined growth rate (<i>set_biomass</i>) and the minimum possible metabolite uptake flux (depicted with the red circle). Unlike algorithms such as OptKnock with tilting [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006213#pcbi.1006213.ref047" target="_blank">47</a>] and RobustKnock [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006213#pcbi.1006213.ref048" target="_blank">48</a>], the OptAux optimization occurs at a predetermined growth rate as opposed to imposing an inner growth rate optimization. …”