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temp <- readRDS("dropEst_out.rds") | |
write.csv(temp$aligned_reads_per_cell, "aligned_reads_per_cell.csv") |
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temp <- readRDS("dropEst_out.rds") | |
write.csv(temp$aligned_reads_per_cell, "aligned_reads_per_cell.csv") |
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Hi Everyone, | |
My name is Adam Kurkiewicz and I'm a second year PhD student in the filed of transcriptomics, which is entirely tangential to the field of computer science education, and is not the reason why I'm here. | |
I'm here because I took Computer Science in the Classroom in 2015/2016, and I'm considered to be one of the students for whom the course "worked", as it inspired me to start my own computer science and mathematics after-school club, which has been running every Tuesday evening since September 2017, and attracts students from three Glasgow High Schools (two state schools and one private school). | |
I'm going to say a few words about what in the course worked for me, what didn't, and I'll try to point at a particular worrisome pattern that I, and other students taking the course in my cohort, have noticed in many Glasgow high schools. | |
As Douglas mentioned in his part of talk, the course has highly vocational nature, with plenty of "hands-on" teaching experience with real pupils and real high-schoo |
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2315125, OR4F5 | |
2315251, OR4F29 | |
2315554, TTLL10 | |
2315633, B3GALT6 | |
2315674, SCNN1D | |
2315739, PUSL1 | |
2315773, CPTP | |
2315786, TAS1R3 | |
2315880, TMEM88B | |
2315894, VWA1 |
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\score{ | |
{ | |
\key g \minor | |
\numericTimeSignature | |
\clef basse | |
\time 4/4 | |
% This voice is furious and angry, |
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<!doctype html> | |
<html lang="en"> | |
<head> | |
<!-- Required meta tags --> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> | |
<!-- Bootstrap CSS --> | |
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta.3/css/bootstrap.min.css" integrity="sha384-Zug+QiDoJOrZ5t4lssLdxGhVrurbmBWopoEl+M6BdEfwnCJZtKxi1KgxUyJq13dy" |
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official_bands = ["A1", "A2", "A3", "A4", "A5", "B1", "B2", "B3", "C1", "C2", "C3", "D1", "D2", "D3", "E1", "E2", "E3", "F1", "F2", "F3", "G1", "G2", "H"] | |
epsilon = 10**(-6) | |
def encode_as_band(grade, out_of, bands=None): | |
if bands is None: | |
bands = official_bands | |
# We estabilish thresholds that have to be met in order to be awarded a given band. | |
# For example, in a world with three four bands exist, ["A1", "A2", "A3", "A4"], the thresholds would be [0, 0.25, 0.5, 0.75] | |
thresholds = [i/float(len(bands)) for i, band in enumerate(bands)] | |
# Identify representation of a grade as a fraction. 1 out of 4 would be 0.25. |
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official_bands = ["A1", "A2", "A3", "A4", "A5", "B1", "B2", "B3", "C1", "C2", "C3", "D1", "D2", "D3", "E1", "E2", "E3", "F1", "F2", "F3", "G1", "G2", "H"] | |
epsilon = 10**(-6) | |
def encode_as_band(grade, out_of, bands=None): | |
if bands is None: | |
bands = official_bands | |
# We estabilish thresholds that have to be met in order to be awarded a given band. | |
# For example, in a world with three four bands exist, ["A1", "A2", "A3", "A4"], the thresholds would be [0, 0.25, 0.5, 0.75] | |
thresholds = [i/float(len(bands)) for i, band in enumerate(bands)] | |
# Identify representation of a grade as a fraction. 1 out of 4 would be 0.25. |
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from __future__ import print_function | |
paths = [] | |
size = 5 | |
def validate_partial_path(partial_path): | |
last_elem = partial_path[-1] | |
out_of_boundary = last_elem[0] < 0 or last_elem[0] >= size or last_elem[1] < 0 or last_elem[1] >= size | |
if out_of_boundary: | |
return False |