Greedy optimization algorithm. by Alexis Bénichou (19832361)

Automated Discovery and Optimization of 3D Topological Photonic Crystals by Samuel Kim (1682104)

Subjects:

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Decoding results. by Sam Hall-McMaster (10343795)

Subgroup analysis. by Sam Hall-McMaster (10343795)

Behavioral results. by Sam Hall-McMaster (10343795)

Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

Overview of study assessments of the trial. by Tan Boon Toh (1348143)

“…A QPOP-guided treatment selection algorithm will then be used to select the most appropriate drug combination. …”

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity by George S. Watts (7962206)

“…Adopting metagenomic analysis for clinical use requires that all aspects of the workflow are optimized and tested, including data analysis and computational time and resources. …”

ECE6327_SmartGrid by Xingpeng Li (11825663)

S1 Fig - by Aniket Ravan (3174171)

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

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

“…Background<p>Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Oxaliplatin-based chemotherapy is a cornerstone of treatment for many CRC patients; however, the development of chemoresistance severely limits its therapeutic efficacy and remains a major clinical challenge. …”

Table 1_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”