Subarna Sinha

TL;DR: A genome-wide methylation, transcription, and in vivo evaluation of MSCs from human bone marrow, white adipose tissue, umbilical cord, and skin is performed and a tractable human niche model for studying homing and engraftment of human hematopoietic cells in normal and neoplastic states is demonstrated.

TL;DR: This paper proposes an accurate process-hotspot detection framework that extracts only critical design rules to express the topological features of hotspot patterns and adopts a two-stage filtering process to locate all hotspots accurately and efficiently.

TL;DR: In this paper, the concept of a range pattern is introduced and used to accurately and compactly represent these process-hotspots and an efficient and scalable algorithm is proposed to detect such process hotspots in a given layout.

TL;DR: The development of MiSL (Mining Synthetic Lethals), an algorithm that mines pan-cancer human primary tumour data to identify mutation-specific SL partners for specific cancers, and extensively validate a SL interaction identified by MiSL between the IDH1 mutation and ACACA in leukaemia using gene targeting and patient-derived xenografts is extensively validated.

TL;DR: This paper shows how simulation and satisfiability (S&S) can be tightly integrated to efficiently compute flexibilities in a multilevel Boolean network, including the following: 1) complete "don't cares" (CDCs); 2) sets of pairs of functions to be distinguished (SPFDs); and 3) setsof candidate nodes for resubstitution.