In this work, we first attempt to replicate an earlier study on gene selection and clustering, and then we extend this work by applying a different type of hierarchical clustering to dis- cover interesting subsets of genes from breast cancer data. Replication of such studies is a known challenge and an ac- tive area of research in bioinformatics. The work presented in this paper is three-fold. First, we replicate a study conducted at the University of North Carolina to generate an initial set of genes. Second, we apply an approach called Distance Weighted Discrimination to fuse multiple, disparate breast cancer datasets into a single validation set. Third, we per- form hierarchical clustering and k-means clustering on this validation set to discover natural groupings and compare the clusters generated by both methods. While applying the hi- erarchical clustering is part of the reproduction step, we ex- tend the research by trying two different forms of hierarchi- cal clustering. We also apply k-means clustering for the same purpose and compare all three methods using Kaplan-Meier estimation and Cox proportional hazards regression. We dis- cover that among the three methods, k-means clustering gives us the best results.

With the growing usage of Android devices, security threats are also growing. While there are some existing malware detection methods, cybercriminals continue to develop ways to evade these security mechanisms. Thus, malware detection systems also need to evolve to meet this challenge. This work is a step towards achieving that goal. Malware detection methods need as much information as possible about the potential malware, and a multimodal approach can help in this regard by combining differing aspects of an Android application.

The latest ripple effect from recent reports of ingrained sexism within Uber is that the engineer who originally wrote about them now says someone is trying to dig up dirt on her. Susan Fowler tweeted that "Research for the smear campaign has begun," and many eyes have turned towards her former employer, which has said it is investigating the claims. A spokesperson for Uber told Recode's Johana Bhuiyan that the company "is in no way involved" and that "this is wrong." The only problem there is a lack of credibility rooted in Uber's history. It's the same company where an exec improperly tracked Bhuiyan's Uber on the way to a meeting in 2014, before employee access to the "God View" was restricted.