sameerkhurana10/DSOL_rv0.2: DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction

<p>deep protein solubility prediction</p

Tree based visualization of the multilevel hierarchical organization prevalent in 2 real-life networks.

<p>Tree based visualization of the multilevel hierarchical organization prevalent in 2 real-life networks.</p

a) Visualization of the weighted networks (<i>W</i>^<i>t</i>) mapping evolution of communities over 5 time-stamps. <i>W</i>^<i>t</i> tracks evolution of a cluster between two consecutive time-stamps. The colors represent the weight of the edges in <i>W</i>^<i>t</i>. The weights can take value in the range [0, 1] i.e. 0 ≤ <i>w</i>(V^<i>t</i>(<i>j</i>, <i>k</i>)) ≤ 1. b) Visualization and tracking of community evolution by Netgram for the clusters obtained from the Kernel Spectral Clustering with Memory Effect (MKSC) algorithm [28] for Birthdeath dataset.

<p>Netgram showcases the birth, death, merge, split, expansion, shrinkage and continuation of communities for the Birthdeath dataset over 5 time-stamps (T₁, T₂, T₃, T₄ and T₅). We represent each community with a different colour circle and the size is ∝ the number of nodes in that community. From Fig 2b, we can observe the death of clusters <b>C6</b> & <b>C7</b> at time-stamps T₃ and T₄ respectively. Similarly, we can see birth of clusters <b>NewC14</b> & <b>NewC15</b> at time-stamp T₄ and T₅ respectively. We also observe that cluster <b>C11</b> merges with <b>C5</b> at time-stamp T₂ and cluster <b>C8</b> splits into 2 clusters at time-stamp T₄. We can observe that cluster <b>C8</b> has expanded at time-stamp T₃. The cluster <b>C8</b> also contracts at time-stamp T₄ as it splits into 2 clusters. Cluster <b>C1</b> demonstrates continuation over time.</p

Language Teaching for Democratic Citizenship

<p>We observe that several edges have been removed in comparison to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137502#pone.0137502.g011" target="_blank">Fig 11</a>. The life time of community <b>C7</b> has been shortened to just 2 time-stamps and some edges with weights less than <i>ρ</i> have been removed from community <b>C3</b>.</p

Algorithm 3: <i>GreedyFirstOrder</i>.

<p>Algorithm 3: <i>GreedyFirstOrder</i>.</p

Visualization of communities for Mergesplit dataset obtained by Louvain [5] method keeping <i>ρ</i> = 0.45 and <i>ν</i> = 0.1.

<p>We observe that several edges have been removed in comparison to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137502#pone.0137502.g011" target="_blank">Fig 11</a>. The life time of community <b>C7</b> has been shortened to just 2 time-stamps and some edges with weights less than <i>ρ</i> have been removed from community <b>C3</b>.</p

Visualization of evolution of communities for the NIPS dataset by Netgram toolkit.

<p>Visualization of evolution of communities for the NIPS dataset by Netgram toolkit.</p

Algorithm 3: Greedy Solution to Handle Cross-Overs.

<p>Algorithm 3: Greedy Solution to Handle Cross-Overs.</p

Word clouds for top words in the communities detected by MKSC method [28, 29] over the first few time-stamps for the NIPS dataset.

<p>Word clouds for top words in the communities detected by MKSC method [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137502#pone.0137502.ref028" target="_blank">28</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0137502#pone.0137502.ref029" target="_blank">29</a>] over the first few time-stamps for the NIPS dataset.</p

MH-KSC algorithm for the PGP network. Communities with same colour belong to one cluster.

<p>MH-KSC algorithm for the PGP network. Communities with same colour belong to one cluster.</p