Your UA-cam channel is as informative and useful as the STRING that your team created! My students can simply complete their network pharmacology analysis thanks to your and your team's efforts. Hopefully, we will be able to invite you to our webinar so that we can learn more from you.
Thank you, that is really motivating to hear! It is a lot of work to make all these videos, so I hope they are useful to many people. I'd be happy to give a webinar at some point :-)
Really enjoy your tutorials! This one is of particular interest to me because I am protanopia (red-green colorblind) and it is often very difficult to interpret the colors. One thing I just did was to buy a very overpriced Apple display--hope that will be helpful! Any comments you have will be appreciated.
Happy to hear you enjoy the tutorials! Since you bought an Apple display, I take it that you are using a Mac. If so, try going to System Preferences, Accessibility, Display, and then the Color Filters tab (yes, Apple really hides these features well). In there you can turn on a Red/Green filter, which should help you. As far as I can tell, it mixes some amount of blue into red colors, thus making reds more distinguishable from greens, since you can easily see the difference between blue and green.
Thanks so much for your prompt and very helpful reply to my question! I tried it on one of my hard-to-see color figures (in this case a PCA plot) and it helps a lot! REALLY appreciate it. However your face looks quite blue on the videos after applying the filter, so it is good to know that I can easily turn the filter on and off. I have subscribed to your channel and I look forward to watching your future presentations. Best, JTE
Having read up on this, now I think I am actually deuteranopic. The green light in traffic lights look more like white to me. But given the overlapping spectral responsiveness of the red and green cones, I now understand why colored images look more clear to me whether I employ the protanopia filter or the deuteranopia filter--both would increase my ability to perceive contrast by increasing the blue. In practice, the deuteranopia filter does a slightly better job for me. Thanks again, JTE
Given how many people (mostly males but not all) have this problem, you might want to incorporate this perception issue into one of your future presentations--it has certainly been most helpful for me. So many figures in the literature (especially recent ones) depend upon color perception, I think that it would be helpful for many. Much appreciated!
Wonderful to hear that it works for you! And yes, color filters will make skin colors look strange, so it makes.a lot of sense to turn them on and off as you need them. If you haven't already seen it, I think you'd be interested in my presentation about color representations. Especially the part about CIELAB is relevant to colorblindness, although I do not directly talk about it. In the CIELAB color representation, the a* value of a color represents the position on the red-green axis, so different colors that only differ in a* are the ones you cannot distinguish, while differences in b*, the blue-yellow axis, are easily distinguishable. ua-cam.com/video/HlDySNpGbyc/v-deo.html
It was just Cytoscape and stringApp. I did a disease queries for three different diseases, merged the networks, clustered the merged network, and styled the nodes based on the drug target data in the node table.
Your UA-cam channel is as informative and useful as the STRING that your team created! My students can simply complete their network pharmacology analysis thanks to your and your team's efforts. Hopefully, we will be able to invite you to our webinar so that we can learn more from you.
Thank you, that is really motivating to hear! It is a lot of work to make all these videos, so I hope they are useful to many people. I'd be happy to give a webinar at some point :-)
Really enjoy your tutorials! This one is of particular interest to me because I am protanopia (red-green colorblind) and it is often very difficult to interpret the colors. One thing I just did was to buy a very overpriced Apple display--hope that will be helpful! Any comments you have will be appreciated.
Happy to hear you enjoy the tutorials! Since you bought an Apple display, I take it that you are using a Mac. If so, try going to System Preferences, Accessibility, Display, and then the Color Filters tab (yes, Apple really hides these features well). In there you can turn on a Red/Green filter, which should help you. As far as I can tell, it mixes some amount of blue into red colors, thus making reds more distinguishable from greens, since you can easily see the difference between blue and green.
Thanks so much for your prompt and very helpful reply to my question! I tried it on one of my hard-to-see color figures (in this case a PCA plot) and it helps a lot! REALLY appreciate it. However your face looks quite blue on the videos after applying the filter, so it is good to know that I can easily turn the filter on and off. I have subscribed to your channel and I look forward to watching your future presentations. Best, JTE
Having read up on this, now I think I am actually deuteranopic. The green light in traffic lights look more like white to me. But given the overlapping spectral responsiveness of the red and green cones, I now understand why colored images look more clear to me whether I employ the protanopia filter or the deuteranopia filter--both would increase my ability to perceive contrast by increasing the blue. In practice, the deuteranopia filter does a slightly better job for me. Thanks again, JTE
Given how many people (mostly males but not all) have this problem, you might want to incorporate this perception issue into one of your future presentations--it has certainly been most helpful for me. So many figures in the literature (especially recent ones) depend upon color perception, I think that it would be helpful for many. Much appreciated!
Wonderful to hear that it works for you! And yes, color filters will make skin colors look strange, so it makes.a lot of sense to turn them on and off as you need them.
If you haven't already seen it, I think you'd be interested in my presentation about color representations. Especially the part about CIELAB is relevant to colorblindness, although I do not directly talk about it. In the CIELAB color representation, the a* value of a color represents the position on the red-green axis, so different colors that only differ in a* are the ones you cannot distinguish, while differences in b*, the blue-yellow axis, are easily distinguishable. ua-cam.com/video/HlDySNpGbyc/v-deo.html
For Disease gene network, you used which app?
It was just Cytoscape and stringApp. I did a disease queries for three different diseases, merged the networks, clustered the merged network, and styled the nodes based on the drug target data in the node table.